Uses of Class
org.bytedeco.pytorch.Tensor

Packages that use Tensor

Package	Description
org.bytedeco.pytorch
org.bytedeco.pytorch.global

Uses of Tensor in org.bytedeco.pytorch

Methods in org.bytedeco.pytorch that return Tensor

Modifier and Type	Method and Description
Tensor	Tensor.__and__(Scalar other)
Tensor	Tensor.__and__(Tensor other)
Tensor	Tensor.__dispatch_conj()
Tensor	Tensor.__dispatch_contiguous()
Tensor	Tensor.__dispatch_contiguous(torch.MemoryFormat memory_format)
Tensor	Tensor.__dispatch_data()
Tensor	Tensor.__dispatch_requires_grad_()
Tensor	Tensor.__dispatch_requires_grad_(boolean requires_grad)
Tensor	Tensor.__iand__(Scalar other)
Tensor	Tensor.__iand__(Tensor other)
Tensor	Tensor.__ilshift__(Scalar other)
Tensor	Tensor.__ilshift__(Tensor other)
Tensor	Tensor.__ior__(Scalar other)
Tensor	Tensor.__ior__(Tensor other)
Tensor	Tensor.__irshift__(Scalar other)
Tensor	Tensor.__irshift__(Tensor other)
Tensor	Tensor.__ixor__(Scalar other)
Tensor	Tensor.__ixor__(Tensor other)
Tensor	Tensor.__lshift__(Scalar other)
Tensor	Tensor.__lshift__(Tensor other)
Tensor	Tensor.__or__(Scalar other)
Tensor	Tensor.__or__(Tensor other)
Tensor	Tensor.__rshift__(Scalar other)
Tensor	Tensor.__rshift__(Tensor other)
Tensor	Tensor.__xor__(Scalar other)
Tensor	Tensor.__xor__(Tensor other)
Tensor	Tensor._coalesced_(boolean coalesced)
Tensor	Tensor._conj_physical()
Tensor	Tensor._conj()
Tensor	Tensor._fw_grad(long level) This function returns the forward gradient for this Tensor at the given level.
Tensor	TensorImpl._fw_grad(long level, TensorBase self) Return the accumulated gradient of a tensor.
Tensor	Tensor._fw_primal(long level)
Tensor	AdaptiveLogSoftmaxWithLossImpl._get_full_log_prob(Tensor input, Tensor head_output) Given input tensor, and output of head, computes the log of the full distribution
Tensor	Tensor._indices()
Tensor	Tensor._neg_view()
Tensor	FractionalMaxPool3dOptions._random_samples()
Tensor	FractionalMaxPool3dImpl._random_samples()
Tensor	FractionalMaxPool2dOptions._random_samples()
Tensor	FractionalMaxPool2dImpl._random_samples()
Tensor	FractionalMaxPool1dOptions._random_samples()
Tensor	Tensor._reshape_alias(long[] size, long... stride)
Tensor	Tensor._reshape_alias(LongArrayRef size, LongArrayRef stride)
Tensor	Tensor._values()
Tensor	EmbeddingOptions._weight()
Tensor	EmbeddingBagOptions._weight()
Tensor	Tensor.abs_()
Tensor	Tensor.abs()
Tensor	Tensor.absolute_()
Tensor	Tensor.absolute()
Tensor	parameter_iterator.access()
Tensor	buffer_iterator.access()
Tensor	TensorMaybeOwned.access()
Tensor	TensorArg.access()
Tensor	OptionalTensorRef.access()
Tensor	Tensor.acos_()
Tensor	Tensor.acos()
Tensor	Tensor.acosh_()
Tensor	Tensor.acosh()
Tensor	Tensor.add_(Scalar other)
Tensor	Tensor.add_(Scalar other, Scalar alpha)
Tensor	Tensor.add_(Tensor other)
Tensor	Tensor.add_(Tensor other, Scalar alpha)
Tensor	Tensor.add(Scalar other)
Tensor	Tensor.add(Scalar other, Scalar alpha)
Tensor	Tensor.add(Tensor other)
Tensor	Tensor.add(Tensor other, Scalar alpha)
Tensor	Tensor.addbmm_(Tensor batch1, Tensor batch2)
Tensor	Tensor.addbmm_(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	Tensor.addbmm(Tensor batch1, Tensor batch2)
Tensor	Tensor.addbmm(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	Tensor.addcdiv_(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcdiv_(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addcdiv(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcdiv(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addcmul_(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcmul_(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addcmul(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcmul(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addmm_(Tensor mat1, Tensor mat2)
Tensor	Tensor.addmm_(Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
Tensor	Tensor.addmm(Tensor mat1, Tensor mat2)
Tensor	Tensor.addmm(Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
Tensor	Tensor.addmv_(Tensor mat, Tensor vec)
Tensor	Tensor.addmv_(Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
Tensor	Tensor.addmv(Tensor mat, Tensor vec)
Tensor	Tensor.addmv(Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
Tensor	Tensor.addPut(Scalar other)
Tensor	Tensor.addPut(Tensor other)
Tensor	Tensor.addr_(Tensor vec1, Tensor vec2)
Tensor	Tensor.addr_(Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
Tensor	Tensor.addr(Tensor vec1, Tensor vec2)
Tensor	Tensor.addr(Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
Tensor	Tensor.alias()
Tensor	Tensor.align_as(Tensor other)
Tensor	Tensor.align_to(DimnameArrayRef names)
Tensor	Tensor.align_to(DimnameArrayRef order, long ellipsis_idx)
Tensor	Tensor.all()
Tensor	Tensor.all(Dimname dim)
Tensor	Tensor.all(Dimname dim, boolean keepdim)
Tensor	Tensor.all(long dim)
Tensor	Tensor.all(long dim, boolean keepdim)
Tensor	Tensor.amax()
Tensor	Tensor.amax(long[] dim, boolean keepdim)
Tensor	Tensor.amax(LongArrayRef dim, boolean keepdim)
Tensor	Tensor.amin()
Tensor	Tensor.amin(long[] dim, boolean keepdim)
Tensor	Tensor.amin(LongArrayRef dim, boolean keepdim)
Tensor	Tensor.andPut(Tensor other)
Tensor	Tensor.angle()
Tensor	Tensor.any()
Tensor	Tensor.any(Dimname dim)
Tensor	Tensor.any(Dimname dim, boolean keepdim)
Tensor	Tensor.any(long dim)
Tensor	Tensor.any(long dim, boolean keepdim)
Tensor	Tensor.arccos_()
Tensor	Tensor.arccos()
Tensor	Tensor.arccosh_()
Tensor	Tensor.arccosh()
Tensor	Tensor.arcsin_()
Tensor	Tensor.arcsin()
Tensor	Tensor.arcsinh_()
Tensor	Tensor.arcsinh()
Tensor	Tensor.arctan_()
Tensor	Tensor.arctan()
Tensor	Tensor.arctanh_()
Tensor	Tensor.arctanh()
Tensor	Tensor.argmax()
Tensor	Tensor.argmax(LongOptional dim, boolean keepdim)
Tensor	Tensor.argmin()
Tensor	Tensor.argmin(LongOptional dim, boolean keepdim)
Tensor	Tensor.argsort()
Tensor	Tensor.argsort(Dimname dim)
Tensor	Tensor.argsort(Dimname dim, boolean descending)
Tensor	Tensor.argsort(long dim, boolean descending)
Tensor	Tensor.as_strided_(long[] size, long... stride)
Tensor	Tensor.as_strided_(long[] size, long[] stride, LongOptional storage_offset)
Tensor	Tensor.as_strided_(LongArrayRef size, LongArrayRef stride)
Tensor	Tensor.as_strided_(LongArrayRef size, LongArrayRef stride, LongOptional storage_offset)
Tensor	Tensor.as_strided(long[] size, long... stride)
Tensor	Tensor.as_strided(long[] size, long[] stride, LongOptional storage_offset)
Tensor	Tensor.as_strided(LongArrayRef size, LongArrayRef stride)
Tensor	Tensor.as_strided(LongArrayRef size, LongArrayRef stride, LongOptional storage_offset)
Tensor	Tensor.asin_()
Tensor	Tensor.asin()
Tensor	Tensor.asinh_()
Tensor	Tensor.asinh()
Tensor	TensorArrayRef.at(long Index) Vector compatibility
Tensor	ParameterListImpl.at(long idx) Returns the value associated with the given key.
Tensor	Tensor.atan_()
Tensor	Tensor.atan()
Tensor	Tensor.atan2_(Tensor other)
Tensor	Tensor.atan2(Tensor other)
Tensor	Tensor.atanh_()
Tensor	Tensor.atanh()
Tensor	MultiheadAttentionForwardFuncOptions.attn_mask()
Tensor	TensorArrayRef.back() back - Get the last element.
Tensor	Tensor.baddbmm_(Tensor batch1, Tensor batch2)
Tensor	Tensor.baddbmm_(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	Tensor.baddbmm(Tensor batch1, Tensor batch2)
Tensor	Tensor.baddbmm(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	PackedSequence.batch_sizes()
Tensor	TensorArrayRef.begin() \} \name Simple Operations \{
Tensor	Tensor.bernoulli_()
Tensor	Tensor.bernoulli_(double p, GeneratorOptional generator)
Tensor	Tensor.bernoulli_(Tensor p)
Tensor	Tensor.bernoulli_(Tensor p, GeneratorOptional generator)
Tensor	Tensor.bernoulli()
Tensor	Tensor.bernoulli(double p)
Tensor	Tensor.bernoulli(double p, GeneratorOptional generator)
Tensor	Tensor.bernoulli(GeneratorOptional generator)
Tensor	RNNCellImplBase.bias_hh()
Tensor	LSTMCellImplBase.bias_hh()
Tensor	GRUCellImplBase.bias_hh()
Tensor	RNNCellImplBase.bias_ih()
Tensor	LSTMCellImplBase.bias_ih()
Tensor	GRUCellImplBase.bias_ih()
Tensor	MultiheadAttentionImpl.bias_k()
Tensor	MultiheadAttentionForwardFuncOptions.bias_k()
Tensor	MultiheadAttentionImpl.bias_v()
Tensor	MultiheadAttentionForwardFuncOptions.bias_v()
Tensor	LinearImpl.bias() The learned bias.
Tensor	LayerNormImpl.bias() The learned bias.
Tensor	LayerNormFuncOptions.bias()
Tensor	InstanceNormFuncOptions.bias()
Tensor	InstanceNorm3dImplBaseBase.bias() The learned bias.
Tensor	InstanceNorm2dImplBaseBase.bias() The learned bias.
Tensor	InstanceNorm1dImplBaseBase.bias() The learned bias.
Tensor	GroupNormImpl.bias() The learned bias.
Tensor	GroupNormFuncOptions.bias()
Tensor	ConvTranspose3dImplBaseBase.bias() The learned bias.
Tensor	ConvTranspose3dFuncOptions.bias()
Tensor	ConvTranspose2dImplBaseBase.bias() The learned bias.
Tensor	ConvTranspose2dFuncOptions.bias()
Tensor	ConvTranspose1dImplBaseBase.bias() The learned bias.
Tensor	ConvTranspose1dFuncOptions.bias()
Tensor	Conv3dImplBase.bias() The learned bias.
Tensor	Conv3dFuncOptions.bias()
Tensor	Conv2dImplBase.bias() The learned bias.
Tensor	Conv2dFuncOptions.bias()
Tensor	Conv1dImplBase.bias() The learned bias.
Tensor	Conv1dFuncOptions.bias()
Tensor	BilinearImpl.bias() The learned bias.
Tensor	BatchNormFuncOptions.bias()
Tensor	BatchNorm3dImplBaseBase.bias() The learned bias.
Tensor	BatchNorm2dImplBaseBase.bias() The learned bias.
Tensor	BatchNorm1dImplBaseBase.bias() The learned bias.
Tensor	Tensor.bincount()
Tensor	Tensor.bincount(TensorOptional weights, long minlength)
Tensor	Tensor.bitwise_and_(Scalar other)
Tensor	Tensor.bitwise_and_(Tensor other)
Tensor	Tensor.bitwise_and(Scalar other)
Tensor	Tensor.bitwise_and(Tensor other)
Tensor	Tensor.bitwise_left_shift_(Scalar other)
Tensor	Tensor.bitwise_left_shift_(Tensor other)
Tensor	Tensor.bitwise_left_shift(Scalar other)
Tensor	Tensor.bitwise_left_shift(Tensor other)
Tensor	Tensor.bitwise_not_()
Tensor	Tensor.bitwise_not()
Tensor	Tensor.bitwise_or_(Scalar other)
Tensor	Tensor.bitwise_or_(Tensor other)
Tensor	Tensor.bitwise_or(Scalar other)
Tensor	Tensor.bitwise_or(Tensor other)
Tensor	Tensor.bitwise_right_shift_(Scalar other)
Tensor	Tensor.bitwise_right_shift_(Tensor other)
Tensor	Tensor.bitwise_right_shift(Scalar other)
Tensor	Tensor.bitwise_right_shift(Tensor other)
Tensor	Tensor.bitwise_xor_(Scalar other)
Tensor	Tensor.bitwise_xor_(Tensor other)
Tensor	Tensor.bitwise_xor(Scalar other)
Tensor	Tensor.bitwise_xor(Tensor other)
Tensor	Tensor.bmm(Tensor mat2)
Tensor	Tensor.broadcast_to(long... size)
Tensor	Tensor.broadcast_to(LongArrayRef size)
Tensor	SavedVariableHooks.call_unpack_hook()
Tensor	Tensor.cauchy_()
Tensor	Tensor.cauchy_(double median, double sigma, GeneratorOptional generator)
Tensor	TensorArrayRef.cbegin()
Tensor	Tensor.ceil_()
Tensor	Tensor.ceil()
Tensor	TensorArrayRef.cend()
Tensor	Tensor.cholesky_inverse()
Tensor	Tensor.cholesky_inverse(boolean upper)
Tensor	Tensor.cholesky_solve(Tensor input2)
Tensor	Tensor.cholesky_solve(Tensor input2, boolean upper)
Tensor	Tensor.cholesky()
Tensor	Tensor.cholesky(boolean upper)
Tensor	Tensor.clamp_()
Tensor	Tensor.clamp_(ScalarOptional min)
Tensor	Tensor.clamp_(ScalarOptional min, ScalarOptional max)
Tensor	Tensor.clamp_(TensorOptional min, TensorOptional max)
Tensor	Tensor.clamp_max_(Scalar max)
Tensor	Tensor.clamp_max_(Tensor max)
Tensor	Tensor.clamp_max(Scalar max)
Tensor	Tensor.clamp_max(Tensor max)
Tensor	Tensor.clamp_min_(Scalar min)
Tensor	Tensor.clamp_min_(Tensor min)
Tensor	Tensor.clamp_min(Scalar min)
Tensor	Tensor.clamp_min(Tensor min)
Tensor	Tensor.clamp()
Tensor	Tensor.clamp(ScalarOptional min)
Tensor	Tensor.clamp(ScalarOptional min, ScalarOptional max)
Tensor	Tensor.clamp(TensorOptional min, TensorOptional max)
Tensor	Tensor.clip_()
Tensor	Tensor.clip_(ScalarOptional min)
Tensor	Tensor.clip_(ScalarOptional min, ScalarOptional max)
Tensor	Tensor.clip_(TensorOptional min, TensorOptional max)
Tensor	Tensor.clip()
Tensor	Tensor.clip(ScalarOptional min)
Tensor	Tensor.clip(ScalarOptional min, ScalarOptional max)
Tensor	Tensor.clip(TensorOptional min, TensorOptional max)
Tensor	Tensor.clone()
Tensor	Tensor.clone(MemoryFormatOptional memory_format)
Tensor	Tensor.coalesce()
Tensor	Tensor.col_indices()
Tensor	Tensor.conj_physical_()
Tensor	Tensor.conj_physical()
Tensor	Tensor.conj()
Tensor	Tensor.contiguous()
Tensor	Tensor.contiguous(byte memory_format)
Tensor	Tensor.contiguous(torch.MemoryFormat memory_format)
Tensor	Tensor.copy_(Tensor src)
Tensor	Tensor.copy_(Tensor src, boolean non_blocking)
Tensor	Tensor.copysign_(Scalar other)
Tensor	Tensor.copysign_(Tensor other)
Tensor	Tensor.copysign(Scalar other)
Tensor	Tensor.copysign(Tensor other)
Tensor	Tensor.corrcoef()
Tensor	Tensor.cos_()
Tensor	Tensor.cos()
Tensor	Tensor.cosh_()
Tensor	Tensor.cosh()
Tensor	Tensor.count_nonzero()
Tensor	Tensor.count_nonzero(long... dim)
Tensor	Tensor.count_nonzero(LongArrayRef dim)
Tensor	Tensor.count_nonzero(LongOptional dim)
Tensor	Tensor.cov()
Tensor	Tensor.cov(long correction, TensorOptional fweights, TensorOptional aweights)
Tensor	Tensor.cpu()
static Tensor	AbstractTensor.create(boolean... data)
static Tensor	AbstractTensor.create(boolean[] data, long... shape)
static Tensor	AbstractTensor.create(byte... data)
static Tensor	AbstractTensor.create(byte[] data, boolean signed)
static Tensor	AbstractTensor.create(byte[] data, boolean signed, long... shape)
static Tensor	AbstractTensor.create(byte[] data, long... shape)
static Tensor	AbstractTensor.create(double... data)
static Tensor	AbstractTensor.create(double[] data, long... shape)
static Tensor	AbstractTensor.create(float... data)
static Tensor	AbstractTensor.create(float[] data, long... shape)
static Tensor	AbstractTensor.create(int... data)
static Tensor	AbstractTensor.create(int[] data, long... shape)
static Tensor	AbstractTensor.create(long... data)
static Tensor	AbstractTensor.create(long[] data, long... shape)
static Tensor	AbstractTensor.create(short... data)
static Tensor	AbstractTensor.create(short[] data, long... shape)
static Tensor	ParameterPolicy.create(SlotCursor cursors, IValue v)
static Tensor	BufferPolicy.create(SlotCursor cursors, IValue v)
Tensor	Tensor.cross(Tensor other)
Tensor	Tensor.cross(Tensor other, LongOptional dim)
Tensor	Tensor.crow_indices()
Tensor	Tensor.cuda()
Tensor	Tensor.cumprod_(Dimname dim)
Tensor	Tensor.cumprod_(Dimname dim, ScalarTypeOptional dtype)
Tensor	Tensor.cumprod_(long dim)
Tensor	Tensor.cumprod_(long dim, ScalarTypeOptional dtype)
Tensor	Tensor.cumprod(Dimname dim)
Tensor	Tensor.cumprod(Dimname dim, ScalarTypeOptional dtype)
Tensor	Tensor.cumprod(long dim)
Tensor	Tensor.cumprod(long dim, ScalarTypeOptional dtype)
Tensor	Tensor.cumsum_(Dimname dim)
Tensor	Tensor.cumsum_(Dimname dim, ScalarTypeOptional dtype)
Tensor	Tensor.cumsum_(long dim)
Tensor	Tensor.cumsum_(long dim, ScalarTypeOptional dtype)
Tensor	Tensor.cumsum(Dimname dim)
Tensor	Tensor.cumsum(Dimname dim, ScalarTypeOptional dtype)
Tensor	Tensor.cumsum(long dim)
Tensor	Tensor.cumsum(long dim, ScalarTypeOptional dtype)
Tensor	LBFGSParamState.d()
Tensor	TensorArrayRef.data()
Tensor	Tensor.data() Registers a backward hook.
Tensor	PackedSequence.data()
Tensor	Example.data()
Tensor	Tensor.deg2rad_()
Tensor	Tensor.deg2rad()
Tensor	Tensor.dequantize()
Tensor	Tensor.det()
Tensor	Tensor.detach_()
Tensor	Tensor.detach()
Tensor	Tensor.diag_embed()
Tensor	Tensor.diag_embed(long offset, long dim1, long dim2)
Tensor	Tensor.diag()
Tensor	Tensor.diag(long diagonal)
Tensor	Tensor.diagflat()
Tensor	Tensor.diagflat(long offset)
Tensor	Tensor.diagonal()
Tensor	Tensor.diagonal(Dimname outdim, Dimname dim1, Dimname dim2)
Tensor	Tensor.diagonal(Dimname outdim, Dimname dim1, Dimname dim2, long offset)
Tensor	Tensor.diagonal(long offset, long dim1, long dim2)
Tensor	Tensor.diff()
Tensor	Tensor.diff(long n, long dim, TensorOptional prepend, TensorOptional append)
Tensor	Tensor.digamma_()
Tensor	Tensor.digamma()
Tensor	Tensor.dist(Tensor other)
Tensor	Tensor.dist(Tensor other, Scalar p)
Tensor	Tensor.div_(Scalar other)
Tensor	Tensor.div_(Scalar other, Pointer rounding_mode)
Tensor	Tensor.div_(Tensor other)
Tensor	Tensor.div_(Tensor other, Pointer rounding_mode)
Tensor	Tensor.div(Scalar other)
Tensor	Tensor.div(Scalar other, Pointer rounding_mode)
Tensor	Tensor.div(Tensor other)
Tensor	Tensor.div(Tensor other, Pointer rounding_mode)
Tensor	Tensor.divide_(Scalar other)
Tensor	Tensor.divide_(Scalar other, Pointer rounding_mode)
Tensor	Tensor.divide_(Tensor other)
Tensor	Tensor.divide_(Tensor other, Pointer rounding_mode)
Tensor	Tensor.divide(Scalar other)
Tensor	Tensor.divide(Scalar other, Pointer rounding_mode)
Tensor	Tensor.divide(Tensor other)
Tensor	Tensor.divide(Tensor other, Pointer rounding_mode)
Tensor	Tensor.dividePut(Scalar other)
Tensor	Tensor.dividePut(Tensor other)
Tensor	Tensor.dot(Tensor tensor)
Tensor	TensorArrayRef.end()
Tensor	Tensor.eq_(Scalar other)
Tensor	Tensor.eq_(Tensor other)
Tensor	Tensor.eq(Scalar other)
Tensor	Tensor.eq(Tensor other)
Tensor	Tensor.erf_()
Tensor	Tensor.erf()
Tensor	Tensor.erfc_()
Tensor	Tensor.erfc()
Tensor	Tensor.erfinv_()
Tensor	Tensor.erfinv()
Tensor	Tensor.exp_()
Tensor	AdamWParamState.exp_avg_sq()
Tensor	AdamParamState.exp_avg_sq()
Tensor	AdamWParamState.exp_avg()
Tensor	AdamParamState.exp_avg()
Tensor	Tensor.exp()
Tensor	Tensor.exp2_()
Tensor	Tensor.exp2()
Tensor	Tensor.expand_as(Tensor other)
Tensor	Tensor.expand(long... size)
Tensor	Tensor.expand(long[] size, boolean implicit)
Tensor	Tensor.expand(LongArrayRef size)
Tensor	Tensor.expand(LongArrayRef size, boolean implicit)
Tensor	Tensor.expm1_()
Tensor	Tensor.expm1()
Tensor	Tensor.exponential_()
Tensor	Tensor.exponential_(double lambd, GeneratorOptional generator)
Tensor	Tensor.fill_(Scalar value)
Tensor	Tensor.fill_(Tensor value)
Tensor	Tensor.fill_diagonal_(Scalar fill_value)
Tensor	Tensor.fill_diagonal_(Scalar fill_value, boolean wrap)
Tensor	Tensor.fix_()
Tensor	Tensor.fix()
Tensor	Tensor.flatten()
Tensor	Tensor.flatten(DimnameArrayRef dims, Dimname out_dim)
Tensor	Tensor.flatten(Dimname start_dim, Dimname end_dim, Dimname out_dim)
Tensor	Tensor.flatten(long start_dim, long end_dim)
Tensor	Tensor.flatten(long start_dim, long end_dim, Dimname out_dim)
Tensor	Tensor.flip(long... dims)
Tensor	Tensor.flip(LongArrayRef dims)
Tensor	Tensor.fliplr()
Tensor	Tensor.flipud()
Tensor	Tensor.float_power_(Scalar exponent)
Tensor	Tensor.float_power_(Tensor exponent)
Tensor	Tensor.float_power(Scalar exponent)
Tensor	Tensor.float_power(Tensor exponent)
Tensor	Tensor.floor_()
Tensor	Tensor.floor_divide_(Scalar other)
Tensor	Tensor.floor_divide_(Tensor other)
Tensor	Tensor.floor_divide(Scalar other)
Tensor	Tensor.floor_divide(Tensor other)
Tensor	Tensor.floor()
Tensor	Tensor.fmax(Tensor other)
Tensor	Tensor.fmin(Tensor other)
Tensor	Tensor.fmod_(Scalar other)
Tensor	Tensor.fmod_(Tensor other)
Tensor	Tensor.fmod(Scalar other)
Tensor	Tensor.fmod(Tensor other)
Tensor	ZeroPad2dImpl.forward(Tensor input)
Tensor	UpsampleImpl.forward(Tensor input)
Tensor	UnfoldImpl.forward(Tensor input)
Tensor	UnflattenImpl.forward(Tensor input) Applies an unflatten transform on the input.
Tensor	TransformerEncoderLayerImpl.forward(Tensor src)
Tensor	TransformerEncoderImpl.forward(Tensor src)
Tensor	ThresholdImpl.forward(Tensor input)
Tensor	TanhshrinkImpl.forward(Tensor input)
Tensor	TanhImpl.forward(Tensor input)
Tensor	SoftsignImpl.forward(Tensor input)
Tensor	SoftshrinkImpl.forward(Tensor input)
Tensor	SoftplusImpl.forward(Tensor input)
Tensor	SoftminImpl.forward(Tensor input)
Tensor	SoftmaxImpl.forward(Tensor input)
Tensor	Softmax2dImpl.forward(Tensor input)
Tensor	SigmoidImpl.forward(Tensor input)
Tensor	SiLUImpl.forward(Tensor input)
Tensor	SELUImpl.forward(Tensor input)
Tensor	ReplicationPad3dImplBase.forward(Tensor input)
Tensor	ReplicationPad2dImplBase.forward(Tensor input)
Tensor	ReplicationPad1dImplBase.forward(Tensor input)
Tensor	ReflectionPad3dImplBase.forward(Tensor input)
Tensor	ReflectionPad2dImplBase.forward(Tensor input)
Tensor	ReflectionPad1dImplBase.forward(Tensor input)
Tensor	ReLUImpl.forward(Tensor input)
Tensor	ReLU6Impl.forward(Tensor input)
Tensor	RReLUImpl.forward(Tensor input)
Tensor	RNNCellImpl.forward(Tensor input)
Tensor	PixelUnshuffleImpl.forward(Tensor input)
Tensor	PixelShuffleImpl.forward(Tensor input)
Tensor	PReLUImpl.forward(Tensor input)
Tensor	MishImpl.forward(Tensor input)
Tensor	MaxPool3dImpl.forward(Tensor input)
Tensor	MaxPool2dImpl.forward(Tensor input)
Tensor	MaxPool1dImpl.forward(Tensor input)
Tensor	LogSoftmaxImpl.forward(Tensor input)
Tensor	LogSigmoidImpl.forward(Tensor input)
Tensor	LocalResponseNormImpl.forward(Tensor input)
Tensor	LinearImpl.forward(Tensor input) Transforms the input tensor by multiplying with the weight and optionally adding the bias, if with_bias is true in the options.
Tensor	LeakyReLUImpl.forward(Tensor input)
Tensor	LayerNormImpl.forward(Tensor input) Applies layer normalization over a mini-batch of inputs as described in the paper Layer Normalization_ .
Tensor	LPPool2dImpl.forward(Tensor input)
Tensor	LPPool1dImpl.forward(Tensor input)
Tensor	InstanceNorm3dImplBase.forward(Tensor input)
Tensor	InstanceNorm2dImplBase.forward(Tensor input)
Tensor	InstanceNorm1dImplBase.forward(Tensor input)
Tensor	IdentityImpl.forward(Tensor input)
Tensor	HardtanhImpl.forward(Tensor input)
Tensor	HardshrinkImpl.forward(Tensor input)
Tensor	GroupNormImpl.forward(Tensor input)
Tensor	GRUCellImpl.forward(Tensor input)
Tensor	GLUImpl.forward(Tensor input)
Tensor	GELUImpl.forward(Tensor input)
Tensor	FractionalMaxPool3dImpl.forward(Tensor input)
Tensor	FractionalMaxPool2dImpl.forward(Tensor input)
Tensor	FoldImpl.forward(Tensor input)
Tensor	FlattenImpl.forward(Tensor input) Applies a flatten transform on the input.
Tensor	FeatureAlphaDropoutImpl.forward(Tensor input)
Tensor	EmbeddingImpl.forward(Tensor indices) Performs a lookup on the embedding table stored in weight using the indices supplied and returns the result.
Tensor	EmbeddingBagImpl.forward(Tensor input)
Tensor	ELUImpl.forward(Tensor input)
Tensor	DropoutImpl.forward(Tensor input)
Tensor	Dropout3dImpl.forward(Tensor input)
Tensor	Dropout2dImpl.forward(Tensor input)
Tensor	CrossMapLRN2dImpl.forward(Tensor input)
Tensor	ConvTranspose3dImpl.forward(Tensor input)
Tensor	ConvTranspose2dImpl.forward(Tensor input)
Tensor	ConvTranspose1dImpl.forward(Tensor input)
Tensor	Conv3dImpl.forward(Tensor input)
Tensor	Conv2dImpl.forward(Tensor input)
Tensor	Conv1dImpl.forward(Tensor input)
Tensor	ConstantPad3dImplBase.forward(Tensor input)
Tensor	ConstantPad2dImplBase.forward(Tensor input)
Tensor	ConstantPad1dImplBase.forward(Tensor input)
Tensor	CELUImpl.forward(Tensor input)
Tensor	BatchNorm3dImplBase.forward(Tensor input)
Tensor	BatchNorm2dImplBase.forward(Tensor input)
Tensor	BatchNorm1dImplBase.forward(Tensor input)
Tensor	AvgPool3dImpl.forward(Tensor input)
Tensor	AvgPool2dImpl.forward(Tensor input)
Tensor	AvgPool1dImpl.forward(Tensor input)
Tensor	AlphaDropoutImpl.forward(Tensor input)
Tensor	AdaptiveMaxPool3dImpl.forward(Tensor input)
Tensor	AdaptiveMaxPool2dImpl.forward(Tensor input)
Tensor	AdaptiveMaxPool1dImpl.forward(Tensor input)
Tensor	AdaptiveAvgPool3dImpl.forward(Tensor input)
Tensor	AdaptiveAvgPool2dImpl.forward(Tensor input)
Tensor	AdaptiveAvgPool1dImpl.forward(Tensor input)
Tensor	ConvTranspose3dImpl.forward(Tensor input, LongArrayRefOptional output_size)
Tensor	ConvTranspose2dImpl.forward(Tensor input, LongArrayRefOptional output_size)
Tensor	ConvTranspose1dImpl.forward(Tensor input, LongArrayRefOptional output_size)
Tensor	TransformerImpl.forward(Tensor src, Tensor tgt)
Tensor	TransformerDecoderLayerImpl.forward(Tensor tgt, Tensor memory)
Tensor	TransformerDecoderImpl.forward(Tensor tgt, Tensor memory)
Tensor	SoftMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	SmoothL1LossImpl.forward(Tensor input, Tensor target)
Tensor	RNNCellImpl.forward(Tensor input, Tensor hx)
Tensor	PoissonNLLLossImpl.forward(Tensor log_input, Tensor targets)
Tensor	PairwiseDistanceImpl.forward(Tensor input1, Tensor input2)
Tensor	NLLLossImpl.forward(Tensor input, Tensor target)
Tensor	MultiMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	MultiLabelSoftMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	MultiLabelMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	MaxUnpool3dImpl.forward(Tensor input, Tensor indices)
Tensor	MaxUnpool2dImpl.forward(Tensor input, Tensor indices)
Tensor	MaxUnpool1dImpl.forward(Tensor input, Tensor indices)
Tensor	MSELossImpl.forward(Tensor input, Tensor target)
Tensor	L1LossImpl.forward(Tensor input, Tensor target)
Tensor	KLDivLossImpl.forward(Tensor input, Tensor target)
Tensor	HuberLossImpl.forward(Tensor input, Tensor target)
Tensor	HingeEmbeddingLossImpl.forward(Tensor input, Tensor target)
Tensor	GRUCellImpl.forward(Tensor input, Tensor hx)
Tensor	CrossEntropyLossImpl.forward(Tensor input, Tensor target)
Tensor	CosineSimilarityImpl.forward(Tensor input1, Tensor input2)
Tensor	BilinearImpl.forward(Tensor input1, Tensor input2) Applies a bilinear transform on the input1 and input2 tensor by multiplying with the weight and optionally adding the bias, if with_bias is true in the options.
Tensor	BCEWithLogitsLossImpl.forward(Tensor input, Tensor target)
Tensor	BCELossImpl.forward(Tensor input, Tensor target)
Tensor	MaxUnpool3dImpl.forward(Tensor input, Tensor indices, LongVectorOptional output_size)
Tensor	MaxUnpool2dImpl.forward(Tensor input, Tensor indices, LongVectorOptional output_size)
Tensor	MaxUnpool1dImpl.forward(Tensor input, Tensor indices, LongVectorOptional output_size)
Tensor	TripletMarginWithDistanceLossImpl.forward(Tensor anchor, Tensor positive, Tensor negative)
Tensor	TripletMarginLossImpl.forward(Tensor anchor, Tensor positive, Tensor negative)
Tensor	TransformerEncoderLayerImpl.forward(Tensor src, Tensor src_mask, Tensor src_key_padding_mask)
Tensor	TransformerEncoderImpl.forward(Tensor src, Tensor src_mask, Tensor src_key_padding_mask)
Tensor	MarginRankingLossImpl.forward(Tensor input1, Tensor input2, Tensor targets)
Tensor	EmbeddingBagImpl.forward(Tensor input, Tensor offsets, Tensor per_sample_weights)
Tensor	CosineEmbeddingLossImpl.forward(Tensor input1, Tensor input2, Tensor target)
Tensor	CTCLossImpl.forward(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths)
Tensor	TransformerDecoderLayerImpl.forward(Tensor tgt, Tensor memory, Tensor tgt_mask, Tensor memory_mask, Tensor tgt_key_padding_mask, Tensor memory_key_padding_mask) Pass the inputs (and mask) through the decoder layer.
Tensor	TransformerDecoderImpl.forward(Tensor tgt, Tensor memory, Tensor tgt_mask, Tensor memory_mask, Tensor tgt_key_padding_mask, Tensor memory_key_padding_mask) Pass the inputs (and mask) through the decoder layer in turn.
Tensor	TransformerImpl.forward(Tensor src, Tensor tgt, Tensor src_mask, Tensor tgt_mask, Tensor memory_mask, Tensor src_key_padding_mask, Tensor tgt_key_padding_mask, Tensor memory_key_padding_mask) forward function for Transformer Module Args: src: the sequence to the encoder (required).
Tensor	Tensor.frac_()
Tensor	Tensor.frac()
Tensor	TensorArrayRef.front() front - Get the first element.
Tensor	AutogradMetaInterface.fw_grad(long level, TensorBase self)
Tensor	AutogradMeta.fw_grad(long level, TensorBase self)
Tensor	Tensor.gather(Dimname dim, Tensor index)
Tensor	Tensor.gather(Dimname dim, Tensor index, boolean sparse_grad)
Tensor	Tensor.gather(long dim, Tensor index)
Tensor	Tensor.gather(long dim, Tensor index, boolean sparse_grad)
Tensor	Tensor.gcd_(Tensor other)
Tensor	Tensor.gcd(Tensor other)
Tensor	Tensor.ge_(Scalar other)
Tensor	Tensor.ge_(Tensor other)
Tensor	Tensor.ge(Scalar other)
Tensor	Tensor.ge(Tensor other)
static Tensor	TransformerImpl.generate_square_subsequent_mask(long sz) Generate a square mask for the sequence.
Tensor	Tensor.geometric_(double p)
Tensor	Tensor.geometric_(double p, GeneratorOptional generator)
Tensor	Tensor.ger(Tensor vec2)
Tensor	Generator.get_state()
Tensor[]	TensorVector.get()
Tensor	TensorVector.Iterator.get()
Tensor	TensorOptional.get()
Tensor[]	TensorDeque.get()
Tensor	TensorDeque.Iterator.get()
Tensor	StringTensorMap.get(BytePointer i)
Tensor	StringTensorDict.get(BytePointer i)
Tensor	ParameterDictImpl.get(BytePointer key) Returns the value associated with the given key.
Tensor	TensorVector.get(long i)
Tensor	TensorDeque.get(long i)
Tensor	TensorArrayRef.get(long Index) \} \name Operator Overloads \{
Tensor	Tensor.get(long index)
Tensor	ParameterListImpl.get(long idx) Returns the value associated with the given key.
Tensor	Tensor.get(Scalar index)
Tensor	ParameterDictImpl.get(String key)
Tensor	Tensor.get(Tensor index)
Tensor	TensorTuple.get0()
Tensor	TensorTensorTuple.get0()
Tensor	TensorTensorTensorTupleTuple.get0()
Tensor	TensorTensorTensorTuple.get0()
Tensor	TensorTensorTensorTensorVectorTuple.get0()
Tensor	TensorTensorTensorTensorTuple.get0()
Tensor	TensorTensorTensorTensorTensorTuple.get0()
Tensor	TensorTensorTensorTensorLongTuple.get0()
Tensor	TensorTensorDoubleLongTuple.get0()
static Tensor	TensorTensorDoubleLongTuple.get0(TensorTensorDoubleLongTuple container)
static Tensor	TensorTensorTensorTensorLongTuple.get0(TensorTensorTensorTensorLongTuple container)
static Tensor	TensorTensorTensorTensorTensorTuple.get0(TensorTensorTensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTensorTuple.get0(TensorTensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTensorVectorTuple.get0(TensorTensorTensorTensorVectorTuple container)
static Tensor	TensorTensorTensorTuple.get0(TensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTupleTuple.get0(TensorTensorTensorTupleTuple container)
static Tensor	TensorTensorTuple.get0(TensorTensorTuple container)
static Tensor	TensorTuple.get0(TensorTuple container)
Tensor	TensorTensorTuple.get1()
Tensor	TensorTensorTensorTuple.get1()
Tensor	TensorTensorTensorTensorVectorTuple.get1()
Tensor	TensorTensorTensorTensorTuple.get1()
Tensor	TensorTensorTensorTensorTensorTuple.get1()
Tensor	TensorTensorTensorTensorLongTuple.get1()
Tensor	TensorTensorDoubleLongTuple.get1()
Tensor	PackedSequenceTensorTuple.get1()
static Tensor	PackedSequenceTensorTuple.get1(PackedSequenceTensorTuple container)
static Tensor	TensorTensorDoubleLongTuple.get1(TensorTensorDoubleLongTuple container)
static Tensor	TensorTensorTensorTensorLongTuple.get1(TensorTensorTensorTensorLongTuple container)
static Tensor	TensorTensorTensorTensorTensorTuple.get1(TensorTensorTensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTensorTuple.get1(TensorTensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTensorVectorTuple.get1(TensorTensorTensorTensorVectorTuple container)
static Tensor	TensorTensorTensorTuple.get1(TensorTensorTensorTuple container)
static Tensor	TensorTensorTuple.get1(TensorTensorTuple container)
Tensor	TensorTensorTensorTuple.get2()
Tensor	TensorTensorTensorTensorVectorTuple.get2()
Tensor	TensorTensorTensorTensorTuple.get2()
Tensor	TensorTensorTensorTensorTensorTuple.get2()
Tensor	TensorTensorTensorTensorLongTuple.get2()
static Tensor	TensorTensorTensorTensorLongTuple.get2(TensorTensorTensorTensorLongTuple container)
static Tensor	TensorTensorTensorTensorTensorTuple.get2(TensorTensorTensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTensorTuple.get2(TensorTensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTensorVectorTuple.get2(TensorTensorTensorTensorVectorTuple container)
static Tensor	TensorTensorTensorTuple.get2(TensorTensorTensorTuple container)
Tensor	TensorTensorTensorTensorTuple.get3()
Tensor	TensorTensorTensorTensorTensorTuple.get3()
Tensor	TensorTensorTensorTensorLongTuple.get3()
static Tensor	TensorTensorTensorTensorLongTuple.get3(TensorTensorTensorTensorLongTuple container)
static Tensor	TensorTensorTensorTensorTensorTuple.get3(TensorTensorTensorTensorTensorTuple container)
static Tensor	TensorTensorTensorTensorTuple.get3(TensorTensorTensorTensorTuple container)
Tensor	TensorTensorTensorTensorTensorTuple.get4()
static Tensor	TensorTensorTensorTensorTensorTuple.get4(TensorTensorTensorTensorTensorTuple container)
Tensor	Tensor.getPointer(long i)
Tensor	OptionalTensorRef.getTensorRef()
Tensor	AutogradMeta.grad_()
Tensor	RMSpropParamState.grad_avg()
Tensor	TensorImpl.grad() Return the accumulated gradient of a tensor.
Tensor	Tensor.grad() This function returns an undefined tensor by default and returns a defined tensor the first time a call to backward() computes gradients for this Tensor.
Tensor	AutogradMetaInterface.grad()
Tensor	AutogradMeta.grad()
Tensor	Tensor.greater_(Scalar other)
Tensor	Tensor.greater_(Tensor other)
Tensor	Tensor.greater_equal_(Scalar other)
Tensor	Tensor.greater_equal_(Tensor other)
Tensor	Tensor.greater_equal(Scalar other)
Tensor	Tensor.greater_equal(Tensor other)
Tensor	Tensor.greater(Scalar other)
Tensor	Tensor.greater(Tensor other)
Tensor	Tensor.gt_(Scalar other)
Tensor	Tensor.gt_(Tensor other)
Tensor	Tensor.gt(Scalar other)
Tensor	Tensor.gt(Tensor other)
Tensor	LBFGSParamState.H_diag()
Tensor	Tensor.hardshrink_backward(Tensor grad_out, Scalar lambd)
Tensor	Tensor.hardshrink()
Tensor	Tensor.hardshrink(Scalar lambd)
Tensor	Tensor.heaviside_(Tensor values)
Tensor	Tensor.heaviside(Tensor values)
Tensor	Tensor.hip()
Tensor	Tensor.histc()
Tensor	Tensor.histc(long bins, Scalar min, Scalar max)
Tensor	Tensor.hypot_(Tensor other)
Tensor	Tensor.hypot(Tensor other)
Tensor	Tensor.i0_()
Tensor	Tensor.i0()
Tensor	Tensor.igamma_(Tensor other)
Tensor	Tensor.igamma(Tensor other)
Tensor	Tensor.igammac_(Tensor other)
Tensor	Tensor.igammac(Tensor other)
Tensor	MNIST.images() Returns all images stacked into a single tensor.
Tensor	MultiheadAttentionImpl.in_proj_bias()
Tensor	MultiheadAttentionForwardFuncOptions.in_proj_bias()
Tensor	MultiheadAttentionImpl.in_proj_weight()
Tensor	MultiheadAttentionForwardFuncOptions.in_proj_weight()
Tensor	Tensor.index_add_(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_add_(long dim, Tensor index, Tensor source, Scalar alpha)
Tensor	Tensor.index_add(Dimname dim, Tensor index, Tensor source)
Tensor	Tensor.index_add(Dimname dim, Tensor index, Tensor source, Scalar alpha)
Tensor	Tensor.index_add(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_add(long dim, Tensor index, Tensor source, Scalar alpha)
Tensor	Tensor.index_copy_(Dimname dim, Tensor index, Tensor source)
Tensor	Tensor.index_copy_(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_copy(Dimname dim, Tensor index, Tensor source)
Tensor	Tensor.index_copy(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_fill_(Dimname dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill_(Dimname dim, Tensor index, Tensor value)
Tensor	Tensor.index_fill_(long dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill_(long dim, Tensor index, Tensor value)
Tensor	Tensor.index_fill(Dimname dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill(Dimname dim, Tensor index, Tensor value)
Tensor	Tensor.index_fill(long dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill(long dim, Tensor index, Tensor value)
Tensor	Tensor.index_put_(TensorIndexArrayRef indices, Scalar v)
Tensor	Tensor.index_put_(TensorIndexArrayRef indices, Tensor rhs)
Tensor	Tensor.index_select(Dimname dim, Tensor index)
Tensor	Tensor.index_select(long dim, Tensor index)
Tensor	Tensor.index(TensorIndexArrayRef indices)
Tensor	Tensor.indices()
Tensor	Tensor.inner(Tensor other)
Tensor	ParameterDictImpl.insert(BytePointer key, Tensor param) Insert the parameter along with the key into ParameterDict The parameter is set to be require grad by default
Tensor	ParameterDictImpl.insert(String key, Tensor param)
Tensor	Tensor.int_repr()
Tensor	Tensor.inverse()
Tensor	Tensor.isclose(Tensor other)
Tensor	Tensor.isclose(Tensor other, double rtol, double atol, boolean equal_nan)
Tensor	Tensor.isfinite()
Tensor	Tensor.isinf()
Tensor	Tensor.isnan()
Tensor	Tensor.isneginf()
Tensor	Tensor.isposinf()
Tensor	Tensor.isreal()
Tensor	Tensor.istft(long n_fft)
Tensor	Tensor.istft(long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, boolean normalized, BoolOptional onesided, LongOptional length, boolean return_complex)
Tensor	MultiheadAttentionImpl.k_proj_weight()
Tensor	MultiheadAttentionForwardFuncOptions.k_proj_weight()
Tensor	MultiheadAttentionForwardFuncOptions.key_padding_mask()
Tensor	Tensor.kron(Tensor other)
Tensor	Tensor.lcm_(Tensor other)
Tensor	Tensor.lcm(Tensor other)
Tensor	Tensor.ldexp_(Tensor other)
Tensor	Tensor.ldexp(Tensor other)
Tensor	Tensor.le_(Scalar other)
Tensor	Tensor.le_(Tensor other)
Tensor	Tensor.le(Scalar other)
Tensor	Tensor.le(Tensor other)
Tensor	Tensor.lerp_(Tensor end, Scalar weight)
Tensor	Tensor.lerp_(Tensor end, Tensor weight)
Tensor	Tensor.lerp(Tensor end, Scalar weight)
Tensor	Tensor.lerp(Tensor end, Tensor weight)
Tensor	Tensor.less_(Scalar other)
Tensor	Tensor.less_(Tensor other)
Tensor	Tensor.less_equal_(Scalar other)
Tensor	Tensor.less_equal_(Tensor other)
Tensor	Tensor.less_equal(Scalar other)
Tensor	Tensor.less_equal(Tensor other)
Tensor	Tensor.less(Scalar other)
Tensor	Tensor.less(Tensor other)
Tensor	Tensor.lgamma_()
Tensor	Tensor.lgamma()
Tensor	Tensor.log_()
Tensor	Tensor.log_normal_()
Tensor	Tensor.log_normal_(double mean, double std, GeneratorOptional generator)
Tensor	AdaptiveLogSoftmaxWithLossImpl.log_prob(Tensor input) Computes log probabilities for all n_classes
Tensor	Tensor.log_softmax(Dimname dim)
Tensor	Tensor.log_softmax(Dimname dim, ScalarTypeOptional dtype)
Tensor	Tensor.log_softmax(long dim)
Tensor	Tensor.log_softmax(long dim, ScalarTypeOptional dtype)
Tensor	Tensor.log()
Tensor	Tensor.log10_()
Tensor	Tensor.log10()
Tensor	Tensor.log1p_()
Tensor	Tensor.log1p()
Tensor	Tensor.log2_()
Tensor	Tensor.log2()
Tensor	Tensor.logaddexp(Tensor other)
Tensor	Tensor.logaddexp2(Tensor other)
Tensor	Tensor.logcumsumexp(Dimname dim)
Tensor	Tensor.logcumsumexp(long dim)
Tensor	Tensor.logdet()
Tensor	Tensor.logical_and_(Tensor other)
Tensor	Tensor.logical_and(Tensor other)
Tensor	Tensor.logical_not_()
Tensor	Tensor.logical_not()
Tensor	Tensor.logical_or_(Tensor other)
Tensor	Tensor.logical_or(Tensor other)
Tensor	Tensor.logical_xor_(Tensor other)
Tensor	Tensor.logical_xor(Tensor other)
Tensor	Tensor.logit_()
Tensor	Tensor.logit_(DoubleOptional eps)
Tensor	Tensor.logit()
Tensor	Tensor.logit(DoubleOptional eps)
Tensor	Tensor.logsumexp(DimnameArrayRef dim)
Tensor	Tensor.logsumexp(DimnameArrayRef dim, boolean keepdim)
Tensor	Tensor.logsumexp(long... dim)
Tensor	Tensor.logsumexp(long[] dim, boolean keepdim)
Tensor	Tensor.logsumexp(LongArrayRef dim)
Tensor	Tensor.logsumexp(LongArrayRef dim, boolean keepdim)
Tensor	Tensor.lt_(Scalar other)
Tensor	Tensor.lt_(Tensor other)
Tensor	Tensor.lt(Scalar other)
Tensor	Tensor.lt(Tensor other)
Tensor	Tensor.lu_solve(Tensor LU_data, Tensor LU_pivots)
Tensor	TensorMaker.make_tensor()
Tensor	Tensor.masked_fill_(Tensor mask, Scalar value)
Tensor	Tensor.masked_fill_(Tensor mask, Tensor value)
Tensor	Tensor.masked_fill(Tensor mask, Scalar value)
Tensor	Tensor.masked_fill(Tensor mask, Tensor value)
Tensor	Tensor.masked_scatter_(Tensor mask, Tensor source)
Tensor	Tensor.masked_scatter(Tensor mask, Tensor source)
Tensor	Tensor.masked_select(Tensor mask)
Tensor	Tensor.matmul(Tensor other)
Tensor	Tensor.matrix_exp()
Tensor	Tensor.matrix_power(long n)
Tensor	AdamWParamState.max_exp_avg_sq()
Tensor	AdamParamState.max_exp_avg_sq()
Tensor	Tensor.max()
Tensor	Tensor.max(Tensor other)
Tensor	Tensor.maximum(Tensor other)
Tensor	Tensor.mean()
Tensor	Tensor.mean(DimnameArrayRef dim)
Tensor	Tensor.mean(DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.mean(long... dim)
Tensor	Tensor.mean(long[] dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.mean(LongArrayRef dim)
Tensor	Tensor.mean(LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.mean(ScalarTypeOptional dtype)
Tensor	Tensor.median()
Tensor	Tensor.metal()
Tensor	Tensor.min()
Tensor	Tensor.min(Tensor other)
Tensor	Tensor.minimum(Tensor other)
Tensor	Tensor.mm(Tensor mat2)
Tensor	SGDParamState.momentum_buffer()
Tensor	RMSpropParamState.momentum_buffer()
Tensor	Tensor.moveaxis(long[] source, long... destination)
Tensor	Tensor.moveaxis(LongArrayRef source, LongArrayRef destination)
Tensor	Tensor.moveaxis(long source, long destination)
Tensor	Tensor.movedim(long[] source, long... destination)
Tensor	Tensor.movedim(LongArrayRef source, LongArrayRef destination)
Tensor	Tensor.movedim(long source, long destination)
Tensor	Tensor.msort()
Tensor	Tensor.mul_(Scalar other)
Tensor	Tensor.mul_(Tensor other)
Tensor	Tensor.mul(Scalar other)
Tensor	Tensor.mul(Tensor other)
Tensor	Tensor.multinomial(long num_samples)
Tensor	Tensor.multinomial(long num_samples, boolean replacement, GeneratorOptional generator)
Tensor	Tensor.multiply_(Scalar other)
Tensor	Tensor.multiply_(Tensor other)
Tensor	parameter_iterator.multiply()
Tensor	buffer_iterator.multiply()
Tensor	TensorMaybeOwned.multiply()
Tensor	TensorArg.multiply()
Tensor	OptionalTensorRef.multiply()
Tensor	Tensor.multiply(Scalar other)
Tensor	Tensor.multiply(Tensor other)
Tensor	Tensor.multiplyPut(Scalar other)
Tensor	Tensor.multiplyPut(Tensor other)
Tensor	TensorImpl.mutable_grad() Return a mutable reference to the gradient.
Tensor	Tensor.mutable_grad() Return a mutable reference to the gradient.
Tensor	AutogradMetaInterface.mutable_grad()
Tensor	AutogradMeta.mutable_grad() Accesses the gradient Variable of this Variable.
Tensor	Tensor.mv(Tensor vec)
Tensor	Tensor.mvlgamma_(long p)
Tensor	Tensor.mvlgamma(long p)
Tensor	Tensor.nan_to_num_()
Tensor	Tensor.nan_to_num_(DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
Tensor	Tensor.nan_to_num()
Tensor	Tensor.nan_to_num(DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
Tensor	Tensor.nanmean()
Tensor	Tensor.nanmean(long[] dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.nanmean(LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.nanmedian()
Tensor	Tensor.nanquantile(double q)
Tensor	Tensor.nanquantile(double q, LongOptional dim, boolean keepdim)
Tensor	Tensor.nanquantile(double q, LongOptional dim, boolean keepdim, Pointer interpolation)
Tensor	Tensor.nanquantile(Tensor q)
Tensor	Tensor.nanquantile(Tensor q, LongOptional dim, boolean keepdim)
Tensor	Tensor.nanquantile(Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
Tensor	Tensor.nansum()
Tensor	Tensor.nansum(long... dim)
Tensor	Tensor.nansum(long[] dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.nansum(LongArrayRef dim)
Tensor	Tensor.nansum(LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.nansum(ScalarTypeOptional dtype)
Tensor	Tensor.narrow_copy(long dim, long start, long length)
Tensor	Tensor.narrow(long dim, long start, long length)
Tensor	Tensor.narrow(long dim, Tensor start, long length)
Tensor	Tensor.ne_(Scalar other)
Tensor	Tensor.ne_(Tensor other)
Tensor	Tensor.ne(Scalar other)
Tensor	Tensor.ne(Tensor other)
Tensor	Tensor.neg_()
Tensor	Tensor.neg()
Tensor	Tensor.negative_()
Tensor	Tensor.negative()
Tensor	Tensor.new_empty_strided(long[] size, long... stride)
Tensor	Tensor.new_empty_strided(long[] size, long[] stride, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_empty_strided(long[] size, long[] stride, TensorOptions options)
Tensor	Tensor.new_empty_strided(LongArrayRef size, LongArrayRef stride)
Tensor	Tensor.new_empty_strided(LongArrayRef size, LongArrayRef stride, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_empty_strided(LongArrayRef size, LongArrayRef stride, TensorOptions options)
Tensor	Tensor.new_empty(long... size)
Tensor	Tensor.new_empty(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_empty(long[] size, TensorOptions options)
Tensor	Tensor.new_empty(LongArrayRef size)
Tensor	Tensor.new_empty(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_empty(LongArrayRef size, TensorOptions options)
Tensor	Tensor.new_full(long[] size, Scalar fill_value)
Tensor	Tensor.new_full(long[] size, Scalar fill_value, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_full(long[] size, Scalar fill_value, TensorOptions options)
Tensor	Tensor.new_full(LongArrayRef size, Scalar fill_value)
Tensor	Tensor.new_full(LongArrayRef size, Scalar fill_value, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_full(LongArrayRef size, Scalar fill_value, TensorOptions options)
Tensor	Tensor.new_ones(long... size)
Tensor	Tensor.new_ones(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_ones(long[] size, TensorOptions options)
Tensor	Tensor.new_ones(LongArrayRef size)
Tensor	Tensor.new_ones(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_ones(LongArrayRef size, TensorOptions options)
Tensor	Tensor.new_zeros(long... size)
Tensor	Tensor.new_zeros(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_zeros(long[] size, TensorOptions options)
Tensor	Tensor.new_zeros(LongArrayRef size)
Tensor	Tensor.new_zeros(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
Tensor	Tensor.new_zeros(LongArrayRef size, TensorOptions options)
Tensor	Tensor.nextafter_(Tensor other)
Tensor	Tensor.nextafter(Tensor other)
Tensor	Tensor.nonzero()
Tensor	Tensor.norm()
Tensor	Tensor.norm(Scalar p)
Tensor	Tensor.norm(ScalarOptional p, DimnameArrayRef dim)
Tensor	Tensor.norm(ScalarOptional p, DimnameArrayRef dim, boolean keepdim)
Tensor	Tensor.norm(ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
Tensor	Tensor.norm(ScalarOptional p, long... dim)
Tensor	Tensor.norm(ScalarOptional p, long[] dim, boolean keepdim)
Tensor	Tensor.norm(ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
Tensor	Tensor.norm(ScalarOptional p, LongArrayRef dim)
Tensor	Tensor.norm(ScalarOptional p, LongArrayRef dim, boolean keepdim)
Tensor	Tensor.norm(ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
Tensor	Tensor.norm(ScalarOptional p, torch.ScalarType dtype)
Tensor	Tensor.normal_()
Tensor	Tensor.normal_(double mean, double std, GeneratorOptional generator)
Tensor	Tensor.not_equal_(Scalar other)
Tensor	Tensor.not_equal_(Tensor other)
Tensor	Tensor.not_equal(Scalar other)
Tensor	Tensor.not_equal(Tensor other)
Tensor	Tensor.not()
Tensor	InstanceNorm3dImplBaseBase.num_batches_tracked() The number of the forward call.
Tensor	InstanceNorm2dImplBaseBase.num_batches_tracked() The number of the forward call.
Tensor	InstanceNorm1dImplBaseBase.num_batches_tracked() The number of the forward call.
Tensor	BatchNorm3dImplBaseBase.num_batches_tracked() The number of the forward call.
Tensor	BatchNorm2dImplBaseBase.num_batches_tracked() The number of the forward call.
Tensor	BatchNorm1dImplBaseBase.num_batches_tracked() The number of the forward call.
Tensor	Tensor.numpy_T()
Tensor	EmbeddingBagFuncOptions.offsets()
Tensor	Tensor.orgqr(Tensor input2)
Tensor	Tensor.ormqr(Tensor input2, Tensor input3)
Tensor	Tensor.ormqr(Tensor input2, Tensor input3, boolean left, boolean transpose)
Tensor	Tensor.orPut(Tensor other)
Tensor	MultiheadAttentionForwardFuncOptions.out_proj_bias()
Tensor	MultiheadAttentionForwardFuncOptions.out_proj_weight()
Tensor	Tensor.outer(Tensor vec2)
Tensor	ASMoutput.output() Tensor containing computed target log probabilities for each example
Tensor	EmbeddingBagFuncOptions.per_sample_weights()
Tensor	Tensor.permute(long... dims)
Tensor	Tensor.permute(LongArrayRef dims)
Tensor	Tensor.pin_memory()
Tensor	Tensor.pin_memory(DeviceOptional device)
Tensor	Tensor.pinverse()
Tensor	Tensor.pinverse(double rcond)
Tensor	Tensor.polygamma_(long n)
Tensor	Tensor.polygamma(long n)
Tensor	TensorVector.pop_back()
Tensor	TensorDeque.pop_back()
Tensor	ParameterDictImpl.pop(BytePointer key) Remove key from the ParameterDict and return its value, throw exception if the key is not contained.
Tensor	ParameterDictImpl.pop(String key)
Tensor	BCEWithLogitsLossOptions.pos_weight()
Tensor	BCEWithLogitsLossImpl.pos_weight() A weight of positive examples.
Tensor	Tensor.position(long position)
Tensor	Tensor.positive()
Tensor	Tensor.pow_(Scalar exponent)
Tensor	Tensor.pow_(Tensor exponent)
Tensor	Tensor.pow(Scalar exponent)
Tensor	Tensor.pow(Tensor exponent)
Tensor	AdaptiveLogSoftmaxWithLossImpl.predict(Tensor input) This is equivalent to log_pob(input).argmax(1) but is more efficient in some cases
Tensor	Tensor.prelu(Tensor weight)
Tensor	LBFGSParamState.prev_flat_grad()
Tensor	Tensor.prod()
Tensor	Tensor.prod(Dimname dim)
Tensor	Tensor.prod(Dimname dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.prod(long dim)
Tensor	Tensor.prod(long dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.prod(ScalarTypeOptional dtype)
Tensor	Tensor.put_(Tensor index, Tensor source)
Tensor	Tensor.put_(Tensor index, Tensor source, boolean accumulate)
Tensor	Tensor.put(Tensor x)
Tensor	Tensor.put(TensorBase x)
Tensor	Tensor.put(Tensor index, Tensor source)
Tensor	Tensor.put(Tensor index, Tensor source, boolean accumulate)
Tensor	Tensor.q_per_channel_scales()
Tensor	Tensor.q_per_channel_zero_points()
Tensor	MultiheadAttentionImpl.q_proj_weight()
Tensor	MultiheadAttentionForwardFuncOptions.q_proj_weight()
Tensor	Tensor.quantile(double q)
Tensor	Tensor.quantile(double q, LongOptional dim, boolean keepdim)
Tensor	Tensor.quantile(double q, LongOptional dim, boolean keepdim, Pointer interpolation)
Tensor	Tensor.quantile(Tensor q)
Tensor	Tensor.quantile(Tensor q, LongOptional dim, boolean keepdim)
Tensor	Tensor.quantile(Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
Tensor	Tensor.rad2deg_()
Tensor	Tensor.rad2deg()
Tensor	Tensor.random_()
Tensor	Tensor.random_(GeneratorOptional generator)
Tensor	Tensor.random_(long to)
Tensor	Tensor.random_(long to, GeneratorOptional generator)
Tensor	Tensor.random_(long from, LongOptional to)
Tensor	Tensor.random_(long from, LongOptional to, GeneratorOptional generator)
Tensor	Tensor.ravel()
Tensor	Tensor.reciprocal_()
Tensor	Tensor.reciprocal()
Tensor	Tensor.refine_names(DimnameArrayRef names)
Tensor	Module.register_buffer(BytePointer name, Tensor tensor) Registers a buffer with this Module.
Tensor	Module.register_buffer(String name, Tensor tensor)
Tensor	Module.register_parameter(BytePointer name, Tensor tensor)
Tensor	Module.register_parameter(BytePointer name, Tensor tensor, boolean requires_grad) Registers a parameter with this Module.
Tensor	Module.register_parameter(String name, Tensor tensor)
Tensor	Module.register_parameter(String name, Tensor tensor, boolean requires_grad)
Tensor	Tensor.relu_()
Tensor	Tensor.relu()
Tensor	Tensor.remainder_(Scalar other)
Tensor	Tensor.remainder_(Tensor other)
Tensor	Tensor.remainder(Scalar other)
Tensor	Tensor.remainder(Tensor other)
Tensor	Tensor.rename_(DimnameListOptional names)
Tensor	Tensor.rename(DimnameListOptional names)
Tensor	Tensor.renorm_(Scalar p, long dim, Scalar maxnorm)
Tensor	Tensor.renorm(Scalar p, long dim, Scalar maxnorm)
Tensor	Tensor.repeat_interleave(long repeats)
Tensor	Tensor.repeat_interleave(long repeats, LongOptional dim, LongOptional output_size)
Tensor	Tensor.repeat_interleave(Tensor repeats)
Tensor	Tensor.repeat_interleave(Tensor repeats, LongOptional dim, LongOptional output_size)
Tensor	Tensor.repeat(long... repeats)
Tensor	Tensor.repeat(LongArrayRef repeats)
Tensor	Tensor.requires_grad_()
Tensor	Tensor.requires_grad_(boolean _requires_grad)
Tensor	Tensor.reshape_as(Tensor other)
Tensor	Tensor.reshape(long... shape)
Tensor	Tensor.reshape(LongArrayRef shape)
Tensor	Tensor.resize_(long... size)
Tensor	Tensor.resize_(long[] size, MemoryFormatOptional memory_format)
Tensor	Tensor.resize_(LongArrayRef size)
Tensor	Tensor.resize_(LongArrayRef size, MemoryFormatOptional memory_format)
Tensor	Tensor.resize_as_(Tensor the_template)
Tensor	Tensor.resize_as_(Tensor the_template, MemoryFormatOptional memory_format)
Tensor	Tensor.resolve_conj()
Tensor	Tensor.resolve_neg()
Tensor	Tensor.roll(long... shifts)
Tensor	Tensor.roll(long[] shifts, long... dims)
Tensor	Tensor.roll(LongArrayRef shifts)
Tensor	Tensor.roll(LongArrayRef shifts, LongArrayRef dims)
Tensor	Tensor.rot90()
Tensor	Tensor.rot90(long k, long... dims)
Tensor	Tensor.rot90(long k, LongArrayRef dims)
Tensor	Tensor.round_()
Tensor	Tensor.round()
Tensor	Tensor.rsqrt_()
Tensor	Tensor.rsqrt()
Tensor	InstanceNormFuncOptions.running_mean()
Tensor	InstanceNorm3dImplBaseBase.running_mean() The running mean.
Tensor	InstanceNorm2dImplBaseBase.running_mean() The running mean.
Tensor	InstanceNorm1dImplBaseBase.running_mean() The running mean.
Tensor	BatchNorm3dImplBaseBase.running_mean() The running mean.
Tensor	BatchNorm2dImplBaseBase.running_mean() The running mean.
Tensor	BatchNorm1dImplBaseBase.running_mean() The running mean.
Tensor	InstanceNormFuncOptions.running_var()
Tensor	InstanceNorm3dImplBaseBase.running_var() The running variance.
Tensor	InstanceNorm2dImplBaseBase.running_var() The running variance.
Tensor	InstanceNorm1dImplBaseBase.running_var() The running variance.
Tensor	BatchNorm3dImplBaseBase.running_var() The running variance.
Tensor	BatchNorm2dImplBaseBase.running_var() The running variance.
Tensor	BatchNorm1dImplBaseBase.running_var() The running variance.
Tensor	Tensor.scatter_(long dim, Tensor index, Scalar value)
Tensor	Tensor.scatter_(long dim, Tensor index, Scalar value, Pointer reduce)
Tensor	Tensor.scatter_(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter_(long dim, Tensor index, Tensor src, Pointer reduce)
Tensor	Tensor.scatter_add_(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter_add(Dimname dim, Tensor index, Tensor src)
Tensor	Tensor.scatter_add(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter(Dimname dim, Tensor index, Scalar value)
Tensor	Tensor.scatter(Dimname dim, Tensor index, Tensor src)
Tensor	Tensor.scatter(long dim, Tensor index, Scalar value)
Tensor	Tensor.scatter(long dim, Tensor index, Scalar value, Pointer reduce)
Tensor	Tensor.scatter(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter(long dim, Tensor index, Tensor src, Pointer reduce)
Tensor	StringTensorPair.second()
Tensor	StringTensorMap.Iterator.second()
Tensor	StringTensorDict.Iterator.second()
Tensor	Tensor.select(Dimname dim, long index)
Tensor	Tensor.select(long dim, long index)
Tensor	Tensor.set_()
Tensor	Tensor.set_(Storage source)
Tensor	Tensor.set_(Storage source, long storage_offset, long... size)
Tensor	Tensor.set_(Storage source, long storage_offset, long[] size, long... stride)
Tensor	Tensor.set_(Storage source, long storage_offset, LongArrayRef size)
Tensor	Tensor.set_(Storage source, long storage_offset, LongArrayRef size, LongArrayRef stride)
Tensor	Tensor.set_(Tensor source)
Tensor	Tensor.set_requires_grad(boolean requires_grad) \fn Tensor detach() const; Returns a new Tensor, detached from the current graph.
Tensor	Tensor.sgn_()
Tensor	Tensor.sgn()
Tensor	Tensor.sigmoid_()
Tensor	Tensor.sigmoid()
Tensor	Tensor.sign_()
Tensor	Tensor.sign()
Tensor	Tensor.signbit()
Tensor	Tensor.sin_()
Tensor	Tensor.sin()
Tensor	Tensor.sinc_()
Tensor	Tensor.sinc()
Tensor	Tensor.sinh_()
Tensor	Tensor.sinh()
Tensor	Tensor.slice()
Tensor	Tensor.slice(long dim, LongOptional start, LongOptional end, long step)
Tensor	Tensor.smm(Tensor mat2)
Tensor	Tensor.softmax(Dimname dim)
Tensor	Tensor.softmax(Dimname dim, ScalarTypeOptional dtype)
Tensor	Tensor.softmax(long dim)
Tensor	Tensor.softmax(long dim, ScalarTypeOptional dtype)
Tensor	PackedSequence.sorted_indices()
Tensor	Tensor.sparse_mask(Tensor mask)
Tensor	Tensor.sparse_resize_(long[] size, long sparse_dim, long dense_dim)
Tensor	Tensor.sparse_resize_(LongArrayRef size, long sparse_dim, long dense_dim)
Tensor	Tensor.sparse_resize_and_clear_(long[] size, long sparse_dim, long dense_dim)
Tensor	Tensor.sparse_resize_and_clear_(LongArrayRef size, long sparse_dim, long dense_dim)
Tensor	Tensor.special_polygamma(long n)
Tensor	Tensor.sqrt_()
Tensor	Tensor.sqrt()
Tensor	Tensor.square_()
Tensor	RMSpropParamState.square_avg()
Tensor	Tensor.square()
Tensor	Tensor.squeeze_()
Tensor	Tensor.squeeze_(Dimname dim)
Tensor	Tensor.squeeze_(long dim)
Tensor	Tensor.squeeze()
Tensor	Tensor.squeeze(Dimname dim)
Tensor	Tensor.squeeze(long dim)
Tensor	Tensor.sspaddmm(Tensor mat1, Tensor mat2)
Tensor	Tensor.sspaddmm(Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
Tensor	MultiheadAttentionForwardFuncOptions.static_k()
Tensor	MultiheadAttentionForwardFuncOptions.static_v()
Tensor	Tensor.std()
Tensor	Tensor.std(boolean unbiased)
Tensor	Tensor.std(DimnameArrayRef dim)
Tensor	Tensor.std(DimnameArrayRef dim, boolean unbiased, boolean keepdim)
Tensor	Tensor.std(DimnameArrayRef dim, LongOptional correction)
Tensor	Tensor.std(DimnameArrayRef dim, LongOptional correction, boolean keepdim)
Tensor	Tensor.std(int dim)
Tensor	Tensor.std(long... dim)
Tensor	Tensor.std(long[] dim, boolean unbiased, boolean keepdim)
Tensor	Tensor.std(LongArrayRef dim)
Tensor	Tensor.std(LongArrayRef dim, boolean unbiased, boolean keepdim)
Tensor	Tensor.std(LongArrayRefOptional dim, LongOptional correction)
Tensor	Tensor.std(LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
Tensor	SGD.step()
Tensor	RMSprop.step()
Tensor	Optimizer.step()
Tensor	AdamW.step()
Tensor	Adam.step()
Tensor	Adagrad.step()
Tensor	Optimizer.step(Pointer closure) A loss function closure, which is expected to return the loss value.
Tensor	SGD.step(torch.LossClosure closure)
Tensor	RMSprop.step(torch.LossClosure closure)
Tensor	LBFGS.step(torch.LossClosure closure)
Tensor	AdamW.step(torch.LossClosure closure)
Tensor	Adam.step(torch.LossClosure closure)
Tensor	Adagrad.step(torch.LossClosure closure)
Tensor	Tensor.stft(long n_fft)
Tensor	Tensor.stft(long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
Tensor	Tensor.sub_(Scalar other)
Tensor	Tensor.sub_(Scalar other, Scalar alpha)
Tensor	Tensor.sub_(Tensor other)
Tensor	Tensor.sub_(Tensor other, Scalar alpha)
Tensor	Tensor.sub(Scalar other)
Tensor	Tensor.sub(Scalar other, Scalar alpha)
Tensor	Tensor.sub(Tensor other)
Tensor	Tensor.sub(Tensor other, Scalar alpha)
Tensor	Tensor.subtract_(Scalar other)
Tensor	Tensor.subtract_(Scalar other, Scalar alpha)
Tensor	Tensor.subtract_(Tensor other)
Tensor	Tensor.subtract_(Tensor other, Scalar alpha)
Tensor	Tensor.subtract()
Tensor	Tensor.subtract(Scalar other)
Tensor	Tensor.subtract(Scalar other, Scalar alpha)
Tensor	Tensor.subtract(Tensor other)
Tensor	Tensor.subtract(Tensor other, Scalar alpha)
Tensor	Tensor.subtractPut(Scalar other)
Tensor	Tensor.subtractPut(Tensor other)
Tensor	Tensor.sum_to_size(long... size)
Tensor	Tensor.sum_to_size(LongArrayRef size)
Tensor	Tensor.sum()
Tensor	AdagradParamState.sum()
Tensor	Tensor.sum(DimnameArrayRef dim)
Tensor	Tensor.sum(DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.sum(long... dim)
Tensor	Tensor.sum(long[] dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.sum(LongArrayRef dim)
Tensor	Tensor.sum(LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
Tensor	Tensor.sum(ScalarTypeOptional dtype)
Tensor	Tensor.swapaxes_(long axis0, long axis1)
Tensor	Tensor.swapaxes(long axis0, long axis1)
Tensor	Tensor.swapdims_(long dim0, long dim1)
Tensor	Tensor.swapdims(long dim0, long dim1)
Tensor	Tensor.t_()
Tensor	Tensor.t()
Tensor	JitNode.t(Symbol name)
Tensor	Tensor.take_along_dim(Tensor indices)
Tensor	Tensor.take_along_dim(Tensor indices, LongOptional dim)
Tensor	Tensor.take(Tensor index)
Tensor	Tensor.tan_()
Tensor	Tensor.tan()
Tensor	Tensor.tanh_()
Tensor	Tensor.tanh()
Tensor	Example.target()
Tensor	MNIST.targets() Returns all targets stacked into a single tensor.
Tensor	Tensor.tensor_data() NOTE: This is similar to the legacy .data() function on Variable, and is intended to be used from functions that need to access the Variable's equivalent Tensor (i.e.
Tensor	TensorIndex.tensor()
Tensor	TensorArg.tensor()
Tensor	Tensor.tile(long... dims)
Tensor	Tensor.tile(LongArrayRef dims)
Tensor	Tensor.to_dense()
Tensor	Tensor.to_dense(ScalarTypeOptional dtype)
Tensor	Tensor.to_mkldnn()
Tensor	Tensor.to_mkldnn(ScalarTypeOptional dtype)
Tensor	Tensor.to_sparse()
Tensor	Tensor.to_sparse(long sparse_dim)
Tensor	Tensor.to()
Tensor	Tensor.to(Device device, torch.ScalarType dtype)
Tensor	Tensor.to(Device device, torch.ScalarType dtype, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
Tensor	Tensor.to(Device device, TypeMeta type_meta)
Tensor	Tensor.to(Device device, TypeMeta type_meta, boolean non_blocking, boolean copy)
Tensor	Tensor.to(ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
Tensor	Tensor.to(Tensor other)
Tensor	Tensor.to(Tensor other, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
Tensor	Tensor.to(TensorOptions options, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
Tensor	Tensor.to(torch.ScalarType dtype)
Tensor	Tensor.to(torch.ScalarType dtype, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
Tensor	Tensor.to(TypeMeta type_meta)
Tensor	Tensor.to(TypeMeta type_meta, boolean non_blocking, boolean copy)
Tensor	Tensor.toBackend(int b)
Tensor	Tensor.toBackend(torch.Backend b)
Tensor	IValue.toTensor()
Tensor	Tensor.toType(torch.ScalarType t)
Tensor	Tensor.trace()
Tensor	Tensor.transpose_(long dim0, long dim1)
Tensor	Tensor.transpose(Dimname dim0, Dimname dim1)
Tensor	Tensor.transpose(long dim0, long dim1)
Tensor	Tensor.tril_()
Tensor	Tensor.tril_(long diagonal)
Tensor	Tensor.tril()
Tensor	Tensor.tril(long diagonal)
Tensor	Tensor.triu_()
Tensor	Tensor.triu_(long diagonal)
Tensor	Tensor.triu()
Tensor	Tensor.triu(long diagonal)
Tensor	Tensor.true_divide_(Scalar other)
Tensor	Tensor.true_divide_(Tensor other)
Tensor	Tensor.true_divide(Scalar other)
Tensor	Tensor.true_divide(Tensor other)
Tensor	Tensor.trunc_()
Tensor	Tensor.trunc()
Tensor	Tensor.type_as(Tensor other)
static Tensor	ForwardGrad.undef_grad()
Tensor	AutogradMetaFactory.undefined_tensor()
Tensor	Tensor.unflatten(Dimname dim, long[] sizes, DimnameArrayRef names)
Tensor	Tensor.unflatten(Dimname dim, LongArrayRef sizes, DimnameArrayRef names)
Tensor	Tensor.unflatten(long dim, long... sizes)
Tensor	Tensor.unflatten(long dim, long[] sizes, DimnameListOptional names)
Tensor	Tensor.unflatten(long dim, LongArrayRef sizes)
Tensor	Tensor.unflatten(long dim, LongArrayRef sizes, DimnameListOptional names)
Tensor	Tensor.unfold(long dimension, long size, long step)
Tensor	Tensor.uniform_()
Tensor	Tensor.uniform_(double from, double to, GeneratorOptional generator)
Tensor	SavedVariable.unpack()
Tensor	SavedVariable.unpack(Node saved_for) Reconstructs the saved variable.
Tensor	PackedSequence.unsorted_indices()
Tensor	Tensor.unsqueeze_(long dim)
Tensor	Tensor.unsqueeze(long dim)
Tensor	MultiheadAttentionImpl.v_proj_weight()
Tensor	MultiheadAttentionForwardFuncOptions.v_proj_weight()
Tensor	NamedTensor.value()
Tensor	ForwardGrad.value(long level)
Tensor	Tensor.values()
Tensor	ParameterDictImpl.values() Return the Values in the dict
Tensor	Tensor.var()
Tensor	Tensor.var(boolean unbiased)
Tensor	Tensor.var(DimnameArrayRef dim)
Tensor	Tensor.var(DimnameArrayRef dim, boolean unbiased, boolean keepdim)
Tensor	Tensor.var(DimnameArrayRef dim, LongOptional correction)
Tensor	Tensor.var(DimnameArrayRef dim, LongOptional correction, boolean keepdim)
Tensor	Tensor.var(int dim)
Tensor	Tensor.var(long... dim)
Tensor	Tensor.var(long[] dim, boolean unbiased, boolean keepdim)
Tensor	Tensor.var(LongArrayRef dim)
Tensor	Tensor.var(LongArrayRef dim, boolean unbiased, boolean keepdim)
Tensor	Tensor.var(LongArrayRefOptional dim, LongOptional correction)
Tensor	Tensor.var(LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
Tensor	Tensor.variable_data() NOTE: var.variable_data() in C++ has the same semantics as tensor.data in Python, which create a new Variable that shares the same storage and tensor metadata with the original Variable, but with a completely new autograd history.
Tensor	Tensor.vdot(Tensor other)
Tensor	Tensor.ve()
Tensor	Tensor.view_as(Tensor other)
Tensor	Tensor.view(long... size)
Tensor	Tensor.view(LongArrayRef size)
Tensor	Tensor.view(torch.ScalarType dtype)
Tensor	Tensor.vulkan()
Tensor	RNNCellImplBase.weight_hh()
Tensor	LSTMCellImplBase.weight_hh()
Tensor	GRUCellImplBase.weight_hh()
Tensor	RNNCellImplBase.weight_ih()
Tensor	LSTMCellImplBase.weight_ih()
Tensor	GRUCellImplBase.weight_ih()
Tensor	PReLUImpl.weight() The learned weight.
Tensor	NLLLossOptions.weight()
Tensor	NLLLossImpl.weight() A manual rescaling weight given to to each class.
Tensor	MultiMarginLossOptions.weight()
Tensor	MultiLabelSoftMarginLossOptions.weight()
Tensor	LinearImpl.weight() The learned weight.
Tensor	LayerNormImpl.weight() The learned weight.
Tensor	LayerNormFuncOptions.weight()
Tensor	InstanceNormFuncOptions.weight()
Tensor	InstanceNorm3dImplBaseBase.weight() The learned weight.
Tensor	InstanceNorm2dImplBaseBase.weight() The learned weight.
Tensor	InstanceNorm1dImplBaseBase.weight() The learned weight.
Tensor	GroupNormImpl.weight() The learned weight.
Tensor	GroupNormFuncOptions.weight()
Tensor	EmbeddingImpl.weight() The embedding table.
Tensor	EmbeddingBagImpl.weight() The embedding table.
Tensor	CrossEntropyLossOptions.weight()
Tensor	CrossEntropyLossImpl.weight() A manual rescaling weight given to to each class.
Tensor	ConvTranspose3dImplBaseBase.weight() The learned kernel (or "weight").
Tensor	ConvTranspose2dImplBaseBase.weight() The learned kernel (or "weight").
Tensor	ConvTranspose1dImplBaseBase.weight() The learned kernel (or "weight").
Tensor	Conv3dImplBase.weight() The learned kernel (or "weight").
Tensor	Conv2dImplBase.weight() The learned kernel (or "weight").
Tensor	Conv1dImplBase.weight() The learned kernel (or "weight").
Tensor	BilinearImpl.weight() The learned weight.
Tensor	BatchNormFuncOptions.weight()
Tensor	BatchNorm3dImplBaseBase.weight() The learned weight.
Tensor	BatchNorm2dImplBaseBase.weight() The learned weight.
Tensor	BatchNorm1dImplBaseBase.weight() The learned weight.
Tensor	BCEWithLogitsLossOptions.weight()
Tensor	BCEWithLogitsLossImpl.weight() A manual rescaling weight given to the loss of each batch element.
Tensor	BCELossOptions.weight()
Tensor	Tensor.where(Tensor condition, Tensor other)
Tensor	Tensor.xlogy_(Scalar other)
Tensor	Tensor.xlogy_(Tensor other)
Tensor	Tensor.xlogy(Scalar other)
Tensor	Tensor.xlogy(Tensor other)
Tensor	Tensor.xorPut(Tensor other)
Tensor	Tensor.zero_()
Tensor	InputMetadata.zeros_like()
Tensor	VariableInfo.zeros(OptionalDeviceGuard device_guard)

Methods in org.bytedeco.pytorch with parameters of type Tensor

Modifier and Type	Method and Description
Tensor	Tensor.__and__(Tensor other)
void	Tensor.__dispatch_set_data(Tensor new_data)
Tensor	Tensor.__iand__(Tensor other)
Tensor	Tensor.__ilshift__(Tensor other)
Tensor	Tensor.__ior__(Tensor other)
Tensor	Tensor.__irshift__(Tensor other)
Tensor	Tensor.__ixor__(Tensor other)
Tensor	Tensor.__lshift__(Tensor other)
Tensor	Tensor.__or__(Tensor other)
Tensor	Tensor.__rshift__(Tensor other)
Tensor	Tensor.__xor__(Tensor other)
Tensor	AdaptiveLogSoftmaxWithLossImpl._get_full_log_prob(Tensor input, Tensor head_output) Given input tensor, and output of head, computes the log of the full distribution
FractionalMaxPool3dImpl	FractionalMaxPool3dImpl._random_samples(Tensor setter)
FractionalMaxPool2dImpl	FractionalMaxPool2dImpl._random_samples(Tensor setter)
Tensor	Tensor.add_(Tensor other)
Tensor	Tensor.add_(Tensor other, Scalar alpha)
int	Node.add_input_metadata(Tensor t)
Tensor	Tensor.add(Tensor other)
Tensor	Tensor.add(Tensor other, Scalar alpha)
Tensor	Tensor.addbmm_(Tensor batch1, Tensor batch2)
Tensor	Tensor.addbmm_(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	Tensor.addbmm(Tensor batch1, Tensor batch2)
Tensor	Tensor.addbmm(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	Tensor.addcdiv_(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcdiv_(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addcdiv(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcdiv(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addcmul_(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcmul_(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addcmul(Tensor tensor1, Tensor tensor2)
Tensor	Tensor.addcmul(Tensor tensor1, Tensor tensor2, Scalar value)
Tensor	Tensor.addmm_(Tensor mat1, Tensor mat2)
Tensor	Tensor.addmm_(Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
Tensor	Tensor.addmm(Tensor mat1, Tensor mat2)
Tensor	Tensor.addmm(Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
Tensor	Tensor.addmv_(Tensor mat, Tensor vec)
Tensor	Tensor.addmv_(Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
Tensor	Tensor.addmv(Tensor mat, Tensor vec)
Tensor	Tensor.addmv(Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
Tensor	Tensor.addPut(Tensor other)
Tensor	Tensor.addr_(Tensor vec1, Tensor vec2)
Tensor	Tensor.addr_(Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
Tensor	Tensor.addr(Tensor vec1, Tensor vec2)
Tensor	Tensor.addr(Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
Tensor	Tensor.align_as(Tensor other)
boolean	Tensor.allclose(Tensor other)
boolean	Tensor.allclose(Tensor other, double rtol, double atol, boolean equal_nan)
Tensor	Tensor.andPut(Tensor other)
void	ParameterListImpl.append(Tensor param) push the a given parameter at the end of the list
Tensor	Tensor.atan2_(Tensor other)
Tensor	Tensor.atan2(Tensor other)
void	Tensor.backward(Tensor gradient, BoolOptional retain_graph, boolean create_graph, TensorListOptional inputs) \fn bool is_leaf() const; All Tensors that have requires_grad() which is false will be leaf Tensors by convention.
Tensor	Tensor.baddbmm_(Tensor batch1, Tensor batch2)
Tensor	Tensor.baddbmm_(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	Tensor.baddbmm(Tensor batch1, Tensor batch2)
Tensor	Tensor.baddbmm(Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
Tensor	Tensor.bernoulli_(Tensor p)
Tensor	Tensor.bernoulli_(Tensor p, GeneratorOptional generator)
RNNCellImplBase	RNNCellImplBase.bias_hh(Tensor setter)
LSTMCellImplBase	LSTMCellImplBase.bias_hh(Tensor setter)
GRUCellImplBase	GRUCellImplBase.bias_hh(Tensor setter)
RNNCellImplBase	RNNCellImplBase.bias_ih(Tensor setter)
LSTMCellImplBase	LSTMCellImplBase.bias_ih(Tensor setter)
GRUCellImplBase	GRUCellImplBase.bias_ih(Tensor setter)
MultiheadAttentionImpl	MultiheadAttentionImpl.bias_k(Tensor setter)
MultiheadAttentionImpl	MultiheadAttentionImpl.bias_v(Tensor setter)
LinearImpl	LinearImpl.bias(Tensor setter)
LayerNormImpl	LayerNormImpl.bias(Tensor setter)
InstanceNorm3dImplBaseBase	InstanceNorm3dImplBaseBase.bias(Tensor setter)
InstanceNorm2dImplBaseBase	InstanceNorm2dImplBaseBase.bias(Tensor setter)
InstanceNorm1dImplBaseBase	InstanceNorm1dImplBaseBase.bias(Tensor setter)
GroupNormImpl	GroupNormImpl.bias(Tensor setter)
ConvTranspose3dImplBaseBase	ConvTranspose3dImplBaseBase.bias(Tensor setter)
ConvTranspose2dImplBaseBase	ConvTranspose2dImplBaseBase.bias(Tensor setter)
ConvTranspose1dImplBaseBase	ConvTranspose1dImplBaseBase.bias(Tensor setter)
Conv3dImplBase	Conv3dImplBase.bias(Tensor setter)
Conv2dImplBase	Conv2dImplBase.bias(Tensor setter)
Conv1dImplBase	Conv1dImplBase.bias(Tensor setter)
BilinearImpl	BilinearImpl.bias(Tensor setter)
BatchNorm3dImplBaseBase	BatchNorm3dImplBaseBase.bias(Tensor setter)
BatchNorm2dImplBaseBase	BatchNorm2dImplBaseBase.bias(Tensor setter)
BatchNorm1dImplBaseBase	BatchNorm1dImplBaseBase.bias(Tensor setter)
Tensor	Tensor.bitwise_and_(Tensor other)
Tensor	Tensor.bitwise_and(Tensor other)
Tensor	Tensor.bitwise_left_shift_(Tensor other)
Tensor	Tensor.bitwise_left_shift(Tensor other)
Tensor	Tensor.bitwise_or_(Tensor other)
Tensor	Tensor.bitwise_or(Tensor other)
Tensor	Tensor.bitwise_right_shift_(Tensor other)
Tensor	Tensor.bitwise_right_shift(Tensor other)
Tensor	Tensor.bitwise_xor_(Tensor other)
Tensor	Tensor.bitwise_xor(Tensor other)
Tensor	Tensor.bmm(Tensor mat2)
static TensorMaybeOwned	TensorMaybeOwned.borrowed(Tensor t)
void	SavedVariableHooks.call_pack_hook(Tensor tensor)
Tensor	Tensor.cholesky_solve(Tensor input2)
Tensor	Tensor.cholesky_solve(Tensor input2, boolean upper)
Tensor	Tensor.clamp_max_(Tensor max)
Tensor	Tensor.clamp_max(Tensor max)
Tensor	Tensor.clamp_min_(Tensor min)
Tensor	Tensor.clamp_min(Tensor min)
Tensor	Tensor.copy_(Tensor src)
Tensor	Tensor.copy_(Tensor src, boolean non_blocking)
Tensor	Tensor.copysign_(Tensor other)
Tensor	Tensor.copysign(Tensor other)
static TensorType	TensorType.create(Tensor t)
Tensor	Tensor.cross(Tensor other)
Tensor	Tensor.cross(Tensor other, LongOptional dim)
Example	Example.data(Tensor setter)
Tensor	Tensor.dist(Tensor other)
Tensor	Tensor.dist(Tensor other, Scalar p)
Tensor	Tensor.div_(Tensor other)
Tensor	Tensor.div_(Tensor other, Pointer rounding_mode)
Tensor	Tensor.div(Tensor other)
Tensor	Tensor.div(Tensor other, Pointer rounding_mode)
Tensor	Tensor.divide_(Tensor other)
Tensor	Tensor.divide_(Tensor other, Pointer rounding_mode)
Tensor	Tensor.divide(Tensor other)
Tensor	Tensor.divide(Tensor other, Pointer rounding_mode)
Tensor	Tensor.dividePut(Tensor other)
Tensor	Tensor.dot(Tensor tensor)
Tensor	Tensor.eq_(Tensor other)
Tensor	Tensor.eq(Tensor other)
boolean	Tensor.equal(Tensor other)
Tensor	Tensor.expand_as(Tensor other)
Tensor	Tensor.fill_(Tensor value)
Tensor	Tensor.float_power_(Tensor exponent)
Tensor	Tensor.float_power(Tensor exponent)
Tensor	Tensor.floor_divide_(Tensor other)
Tensor	Tensor.floor_divide(Tensor other)
Tensor	Tensor.fmax(Tensor other)
Tensor	Tensor.fmin(Tensor other)
Tensor	Tensor.fmod_(Tensor other)
Tensor	Tensor.fmod(Tensor other)
TensorTensorTuple	MaxPool3dImpl.forward_with_indices(Tensor input) Returns the outputs and the indices of the max values.
TensorTensorTuple	MaxPool2dImpl.forward_with_indices(Tensor input) Returns the outputs and the indices of the max values.
TensorTensorTuple	MaxPool1dImpl.forward_with_indices(Tensor input) Returns the outputs and the indices of the max values.
TensorTensorTuple	FractionalMaxPool3dImpl.forward_with_indices(Tensor input) Returns the outputs and the indices of the max values.
TensorTensorTuple	FractionalMaxPool2dImpl.forward_with_indices(Tensor input) Returns the outputs and the indices of the max values.
TensorTensorTuple	AdaptiveMaxPool3dImpl.forward_with_indices(Tensor input) Returns the indices along with the outputs.
TensorTensorTuple	AdaptiveMaxPool2dImpl.forward_with_indices(Tensor input) Returns the indices along with the outputs.
TensorTensorTuple	AdaptiveMaxPool1dImpl.forward_with_indices(Tensor input) Returns the indices along with the outputs.
PackedSequenceTensorTuple	RNNImpl.forward_with_packed_input(PackedSequence packed_input, Tensor hx)
PackedSequenceTensorTuple	GRUImpl.forward_with_packed_input(PackedSequence packed_input, Tensor hx)
Tensor	ZeroPad2dImpl.forward(Tensor input)
Tensor	UpsampleImpl.forward(Tensor input)
Tensor	UnfoldImpl.forward(Tensor input)
Tensor	UnflattenImpl.forward(Tensor input) Applies an unflatten transform on the input.
Tensor	TransformerEncoderLayerImpl.forward(Tensor src)
Tensor	TransformerEncoderImpl.forward(Tensor src)
Tensor	ThresholdImpl.forward(Tensor input)
Tensor	TanhshrinkImpl.forward(Tensor input)
Tensor	TanhImpl.forward(Tensor input)
Tensor	SoftsignImpl.forward(Tensor input)
Tensor	SoftshrinkImpl.forward(Tensor input)
Tensor	SoftplusImpl.forward(Tensor input)
Tensor	SoftminImpl.forward(Tensor input)
Tensor	SoftmaxImpl.forward(Tensor input)
Tensor	Softmax2dImpl.forward(Tensor input)
Tensor	SigmoidImpl.forward(Tensor input)
Tensor	SiLUImpl.forward(Tensor input)
Tensor	SELUImpl.forward(Tensor input)
Tensor	ReplicationPad3dImplBase.forward(Tensor input)
Tensor	ReplicationPad2dImplBase.forward(Tensor input)
Tensor	ReplicationPad1dImplBase.forward(Tensor input)
Tensor	ReflectionPad3dImplBase.forward(Tensor input)
Tensor	ReflectionPad2dImplBase.forward(Tensor input)
Tensor	ReflectionPad1dImplBase.forward(Tensor input)
Tensor	ReLUImpl.forward(Tensor input)
Tensor	ReLU6Impl.forward(Tensor input)
Tensor	RReLUImpl.forward(Tensor input)
TensorTensorTuple	RNNImpl.forward(Tensor input)
Tensor	RNNCellImpl.forward(Tensor input)
Tensor	PixelUnshuffleImpl.forward(Tensor input)
Tensor	PixelShuffleImpl.forward(Tensor input)
Tensor	PReLUImpl.forward(Tensor input)
Tensor	MishImpl.forward(Tensor input)
Tensor	MaxPool3dImpl.forward(Tensor input)
Tensor	MaxPool2dImpl.forward(Tensor input)
Tensor	MaxPool1dImpl.forward(Tensor input)
Tensor	LogSoftmaxImpl.forward(Tensor input)
Tensor	LogSigmoidImpl.forward(Tensor input)
Tensor	LocalResponseNormImpl.forward(Tensor input)
Tensor	LinearImpl.forward(Tensor input) Transforms the input tensor by multiplying with the weight and optionally adding the bias, if with_bias is true in the options.
Tensor	LeakyReLUImpl.forward(Tensor input)
Tensor	LayerNormImpl.forward(Tensor input) Applies layer normalization over a mini-batch of inputs as described in the paper Layer Normalization_ .
TensorTensorTensorTupleTuple	LSTMImpl.forward(Tensor input)
TensorTensorTuple	LSTMCellImpl.forward(Tensor input)
Tensor	LPPool2dImpl.forward(Tensor input)
Tensor	LPPool1dImpl.forward(Tensor input)
Tensor	InstanceNorm3dImplBase.forward(Tensor input)
Tensor	InstanceNorm2dImplBase.forward(Tensor input)
Tensor	InstanceNorm1dImplBase.forward(Tensor input)
Tensor	IdentityImpl.forward(Tensor input)
Tensor	HardtanhImpl.forward(Tensor input)
Tensor	HardshrinkImpl.forward(Tensor input)
Tensor	GroupNormImpl.forward(Tensor input)
TensorTensorTuple	GRUImpl.forward(Tensor input)
Tensor	GRUCellImpl.forward(Tensor input)
Tensor	GLUImpl.forward(Tensor input)
Tensor	GELUImpl.forward(Tensor input)
Tensor	FractionalMaxPool3dImpl.forward(Tensor input)
Tensor	FractionalMaxPool2dImpl.forward(Tensor input)
Tensor	FoldImpl.forward(Tensor input)
Tensor	FlattenImpl.forward(Tensor input) Applies a flatten transform on the input.
Tensor	FeatureAlphaDropoutImpl.forward(Tensor input)
Tensor	EmbeddingImpl.forward(Tensor indices) Performs a lookup on the embedding table stored in weight using the indices supplied and returns the result.
Tensor	EmbeddingBagImpl.forward(Tensor input)
Tensor	ELUImpl.forward(Tensor input)
Tensor	DropoutImpl.forward(Tensor input)
Tensor	Dropout3dImpl.forward(Tensor input)
Tensor	Dropout2dImpl.forward(Tensor input)
Tensor	CrossMapLRN2dImpl.forward(Tensor input)
Tensor	ConvTranspose3dImpl.forward(Tensor input)
Tensor	ConvTranspose2dImpl.forward(Tensor input)
Tensor	ConvTranspose1dImpl.forward(Tensor input)
Tensor	Conv3dImpl.forward(Tensor input)
Tensor	Conv2dImpl.forward(Tensor input)
Tensor	Conv1dImpl.forward(Tensor input)
Tensor	ConstantPad3dImplBase.forward(Tensor input)
Tensor	ConstantPad2dImplBase.forward(Tensor input)
Tensor	ConstantPad1dImplBase.forward(Tensor input)
Tensor	CELUImpl.forward(Tensor input)
Tensor	BatchNorm3dImplBase.forward(Tensor input)
Tensor	BatchNorm2dImplBase.forward(Tensor input)
Tensor	BatchNorm1dImplBase.forward(Tensor input)
Tensor	AvgPool3dImpl.forward(Tensor input)
Tensor	AvgPool2dImpl.forward(Tensor input)
Tensor	AvgPool1dImpl.forward(Tensor input)
Tensor	AlphaDropoutImpl.forward(Tensor input)
Tensor	AdaptiveMaxPool3dImpl.forward(Tensor input)
Tensor	AdaptiveMaxPool2dImpl.forward(Tensor input)
Tensor	AdaptiveMaxPool1dImpl.forward(Tensor input)
Tensor	AdaptiveAvgPool3dImpl.forward(Tensor input)
Tensor	AdaptiveAvgPool2dImpl.forward(Tensor input)
Tensor	AdaptiveAvgPool1dImpl.forward(Tensor input)
Tensor	ConvTranspose3dImpl.forward(Tensor input, LongArrayRefOptional output_size)
Tensor	ConvTranspose2dImpl.forward(Tensor input, LongArrayRefOptional output_size)
Tensor	ConvTranspose1dImpl.forward(Tensor input, LongArrayRefOptional output_size)
Tensor	TransformerImpl.forward(Tensor src, Tensor tgt)
Tensor	TransformerDecoderLayerImpl.forward(Tensor tgt, Tensor memory)
Tensor	TransformerDecoderImpl.forward(Tensor tgt, Tensor memory)
Tensor	SoftMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	SmoothL1LossImpl.forward(Tensor input, Tensor target)
TensorTensorTuple	RNNImpl.forward(Tensor input, Tensor hx)
Tensor	RNNCellImpl.forward(Tensor input, Tensor hx)
Tensor	PoissonNLLLossImpl.forward(Tensor log_input, Tensor targets)
Tensor	PairwiseDistanceImpl.forward(Tensor input1, Tensor input2)
Tensor	NLLLossImpl.forward(Tensor input, Tensor target)
Tensor	MultiMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	MultiLabelSoftMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	MultiLabelMarginLossImpl.forward(Tensor input, Tensor target)
Tensor	MaxUnpool3dImpl.forward(Tensor input, Tensor indices)
Tensor	MaxUnpool2dImpl.forward(Tensor input, Tensor indices)
Tensor	MaxUnpool1dImpl.forward(Tensor input, Tensor indices)
Tensor	MSELossImpl.forward(Tensor input, Tensor target)
Tensor	L1LossImpl.forward(Tensor input, Tensor target)
Tensor	KLDivLossImpl.forward(Tensor input, Tensor target)
Tensor	HuberLossImpl.forward(Tensor input, Tensor target)
Tensor	HingeEmbeddingLossImpl.forward(Tensor input, Tensor target)
TensorTensorTuple	GRUImpl.forward(Tensor input, Tensor hx)
Tensor	GRUCellImpl.forward(Tensor input, Tensor hx)
Tensor	CrossEntropyLossImpl.forward(Tensor input, Tensor target)
Tensor	CosineSimilarityImpl.forward(Tensor input1, Tensor input2)
Tensor	BilinearImpl.forward(Tensor input1, Tensor input2) Applies a bilinear transform on the input1 and input2 tensor by multiplying with the weight and optionally adding the bias, if with_bias is true in the options.
Tensor	BCEWithLogitsLossImpl.forward(Tensor input, Tensor target)
Tensor	BCELossImpl.forward(Tensor input, Tensor target)
ASMoutput	AdaptiveLogSoftmaxWithLossImpl.forward(Tensor input, Tensor target)
Tensor	MaxUnpool3dImpl.forward(Tensor input, Tensor indices, LongVectorOptional output_size)
Tensor	MaxUnpool2dImpl.forward(Tensor input, Tensor indices, LongVectorOptional output_size)
Tensor	MaxUnpool1dImpl.forward(Tensor input, Tensor indices, LongVectorOptional output_size)
Tensor	TripletMarginWithDistanceLossImpl.forward(Tensor anchor, Tensor positive, Tensor negative)
Tensor	TripletMarginLossImpl.forward(Tensor anchor, Tensor positive, Tensor negative)
Tensor	TransformerEncoderLayerImpl.forward(Tensor src, Tensor src_mask, Tensor src_key_padding_mask)
Tensor	TransformerEncoderImpl.forward(Tensor src, Tensor src_mask, Tensor src_key_padding_mask)
TensorTensorTuple	MultiheadAttentionImpl.forward(Tensor query, Tensor key, Tensor value)
Tensor	MarginRankingLossImpl.forward(Tensor input1, Tensor input2, Tensor targets)
Tensor	EmbeddingBagImpl.forward(Tensor input, Tensor offsets, Tensor per_sample_weights)
Tensor	CosineEmbeddingLossImpl.forward(Tensor input1, Tensor input2, Tensor target)
TensorTensorTensorTupleTuple	LSTMImpl.forward(Tensor input, TensorTensorOptional hx_opt)
TensorTensorTuple	LSTMCellImpl.forward(Tensor input, TensorTensorOptional hx_opt)
Tensor	CTCLossImpl.forward(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths)
TensorTensorTuple	MultiheadAttentionImpl.forward(Tensor query, Tensor key, Tensor value, Tensor key_padding_mask, boolean need_weights, Tensor attn_mask)
Tensor	TransformerDecoderLayerImpl.forward(Tensor tgt, Tensor memory, Tensor tgt_mask, Tensor memory_mask, Tensor tgt_key_padding_mask, Tensor memory_key_padding_mask) Pass the inputs (and mask) through the decoder layer.
Tensor	TransformerDecoderImpl.forward(Tensor tgt, Tensor memory, Tensor tgt_mask, Tensor memory_mask, Tensor tgt_key_padding_mask, Tensor memory_key_padding_mask) Pass the inputs (and mask) through the decoder layer in turn.
Tensor	TransformerImpl.forward(Tensor src, Tensor tgt, Tensor src_mask, Tensor tgt_mask, Tensor memory_mask, Tensor src_key_padding_mask, Tensor tgt_key_padding_mask, Tensor memory_key_padding_mask) forward function for Transformer Module Args: src: the sequence to the encoder (required).
static EmbeddingBag	EmbeddingBag.from_pretrained(Tensor embeddings)
static Embedding	Embedding.from_pretrained(Tensor embeddings)
static EmbeddingBag	EmbeddingBag.from_pretrained(Tensor embeddings, EmbeddingBagFromPretrainedOptions options) See the documentation for torch::nn::EmbeddingBagFromPretrainedOptions class to learn what optional arguments are supported for this function.
static Embedding	Embedding.from_pretrained(Tensor embeddings, EmbeddingFromPretrainedOptions options) See the documentation for torch::nn::EmbeddingFromPretrainedOptions class to learn what optional arguments are supported for this function.
Tensor	Tensor.gather(Dimname dim, Tensor index)
Tensor	Tensor.gather(Dimname dim, Tensor index, boolean sparse_grad)
Tensor	Tensor.gather(long dim, Tensor index)
Tensor	Tensor.gather(long dim, Tensor index, boolean sparse_grad)
Tensor	Tensor.gcd_(Tensor other)
Tensor	Tensor.gcd(Tensor other)
Tensor	Tensor.ge_(Tensor other)
Tensor	Tensor.ge(Tensor other)
Tensor	Tensor.ger(Tensor vec2)
Tensor	Tensor.get(Tensor index)
AutogradMeta	AutogradMeta.grad_(Tensor setter)
Tensor	Tensor.greater_(Tensor other)
Tensor	Tensor.greater_equal_(Tensor other)
Tensor	Tensor.greater_equal(Tensor other)
Tensor	Tensor.greater(Tensor other)
Tensor	Tensor.gt_(Tensor other)
Tensor	Tensor.gt(Tensor other)
Tensor	Tensor.hardshrink_backward(Tensor grad_out, Scalar lambd)
Tensor	Tensor.heaviside_(Tensor values)
Tensor	Tensor.heaviside(Tensor values)
TensorTensorTuple	Tensor.histogram(Tensor bins)
TensorTensorTuple	Tensor.histogram(Tensor bins, TensorOptional weight, boolean density)
Tensor	Tensor.hypot_(Tensor other)
Tensor	Tensor.hypot(Tensor other)
Tensor	Tensor.igamma_(Tensor other)
Tensor	Tensor.igamma(Tensor other)
Tensor	Tensor.igammac_(Tensor other)
Tensor	Tensor.igammac(Tensor other)
MultiheadAttentionImpl	MultiheadAttentionImpl.in_proj_bias(Tensor setter)
MultiheadAttentionImpl	MultiheadAttentionImpl.in_proj_weight(Tensor setter)
Tensor	Tensor.index_add_(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_add_(long dim, Tensor index, Tensor source, Scalar alpha)
Tensor	Tensor.index_add(Dimname dim, Tensor index, Tensor source)
Tensor	Tensor.index_add(Dimname dim, Tensor index, Tensor source, Scalar alpha)
Tensor	Tensor.index_add(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_add(long dim, Tensor index, Tensor source, Scalar alpha)
Tensor	Tensor.index_copy_(Dimname dim, Tensor index, Tensor source)
Tensor	Tensor.index_copy_(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_copy(Dimname dim, Tensor index, Tensor source)
Tensor	Tensor.index_copy(long dim, Tensor index, Tensor source)
Tensor	Tensor.index_fill_(Dimname dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill_(Dimname dim, Tensor index, Tensor value)
Tensor	Tensor.index_fill_(long dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill_(long dim, Tensor index, Tensor value)
Tensor	Tensor.index_fill(Dimname dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill(Dimname dim, Tensor index, Tensor value)
Tensor	Tensor.index_fill(long dim, Tensor index, Scalar value)
Tensor	Tensor.index_fill(long dim, Tensor index, Tensor value)
Tensor	Tensor.index_put_(TensorIndexArrayRef indices, Tensor rhs)
Tensor	Tensor.index_select(Dimname dim, Tensor index)
Tensor	Tensor.index_select(long dim, Tensor index)
void	Value.inferTypeFrom(Tensor output)
Tensor	Tensor.inner(Tensor other)
Tensor	ParameterDictImpl.insert(BytePointer key, Tensor param) Insert the parameter along with the key into ParameterDict The parameter is set to be require grad by default
Tensor	ParameterDictImpl.insert(String key, Tensor param)
TensorDeque.Iterator	TensorDeque.insert(TensorDeque.Iterator pos, Tensor value)
TensorVector.Iterator	TensorVector.insert(TensorVector.Iterator pos, Tensor value)
boolean	Tensor.is_same_size(Tensor other)
boolean	Tensor.is_set_to(Tensor tensor)
Tensor	Tensor.isclose(Tensor other)
Tensor	Tensor.isclose(Tensor other, double rtol, double atol, boolean equal_nan)
MultiheadAttentionImpl	MultiheadAttentionImpl.k_proj_weight(Tensor setter)
Tensor	Tensor.kron(Tensor other)
Tensor	Tensor.lcm_(Tensor other)
Tensor	Tensor.lcm(Tensor other)
Tensor	Tensor.ldexp_(Tensor other)
Tensor	Tensor.ldexp(Tensor other)
Tensor	Tensor.le_(Tensor other)
Tensor	Tensor.le(Tensor other)
Tensor	Tensor.lerp_(Tensor end, Scalar weight)
Tensor	Tensor.lerp_(Tensor end, Tensor weight)
Tensor	Tensor.lerp(Tensor end, Scalar weight)
Tensor	Tensor.lerp(Tensor end, Tensor weight)
Tensor	Tensor.less_(Tensor other)
Tensor	Tensor.less_equal_(Tensor other)
Tensor	Tensor.less_equal(Tensor other)
Tensor	Tensor.less(Tensor other)
Tensor	AdaptiveLogSoftmaxWithLossImpl.log_prob(Tensor input) Computes log probabilities for all n_classes
Tensor	Tensor.logaddexp(Tensor other)
Tensor	Tensor.logaddexp2(Tensor other)
Tensor	Tensor.logical_and_(Tensor other)
Tensor	Tensor.logical_and(Tensor other)
Tensor	Tensor.logical_or_(Tensor other)
Tensor	Tensor.logical_or(Tensor other)
Tensor	Tensor.logical_xor_(Tensor other)
Tensor	Tensor.logical_xor(Tensor other)
TensorTensorTuple	Tensor.lstsq(Tensor A)
Tensor	Tensor.lt_(Tensor other)
Tensor	Tensor.lt(Tensor other)
Tensor	Tensor.lu_solve(Tensor LU_data, Tensor LU_pivots)
Tensor	Tensor.masked_fill_(Tensor mask, Scalar value)
Tensor	Tensor.masked_fill_(Tensor mask, Tensor value)
Tensor	Tensor.masked_fill(Tensor mask, Scalar value)
Tensor	Tensor.masked_fill(Tensor mask, Tensor value)
Tensor	Tensor.masked_scatter_(Tensor mask, Tensor source)
Tensor	Tensor.masked_scatter(Tensor mask, Tensor source)
Tensor	Tensor.masked_select(Tensor mask)
boolean	TensorType.matchTensor(Tensor t)
Tensor	Tensor.matmul(Tensor other)
Tensor	Tensor.max(Tensor other)
Tensor	Tensor.maximum(Tensor other)
Tensor	Tensor.min(Tensor other)
Tensor	Tensor.minimum(Tensor other)
Tensor	Tensor.mm(Tensor mat2)
Tensor	Tensor.mul_(Tensor other)
Tensor	Tensor.mul(Tensor other)
Tensor	Tensor.multiply_(Tensor other)
Tensor	Tensor.multiply(Tensor other)
Tensor	Tensor.multiplyPut(Tensor other)
Tensor	Tensor.mv(Tensor vec)
Tensor	Tensor.nanquantile(Tensor q)
Tensor	Tensor.nanquantile(Tensor q, LongOptional dim, boolean keepdim)
Tensor	Tensor.nanquantile(Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
Tensor	Tensor.narrow(long dim, Tensor start, long length)
Tensor	Tensor.ne_(Tensor other)
Tensor	Tensor.ne(Tensor other)
Tensor	Tensor.nextafter_(Tensor other)
Tensor	Tensor.nextafter(Tensor other)
Tensor	Tensor.not_equal_(Tensor other)
Tensor	Tensor.not_equal(Tensor other)
InstanceNorm3dImplBaseBase	InstanceNorm3dImplBaseBase.num_batches_tracked(Tensor setter)
InstanceNorm2dImplBaseBase	InstanceNorm2dImplBaseBase.num_batches_tracked(Tensor setter)
InstanceNorm1dImplBaseBase	InstanceNorm1dImplBaseBase.num_batches_tracked(Tensor setter)
BatchNorm3dImplBaseBase	BatchNorm3dImplBaseBase.num_batches_tracked(Tensor setter)
BatchNorm2dImplBaseBase	BatchNorm2dImplBaseBase.num_batches_tracked(Tensor setter)
BatchNorm1dImplBaseBase	BatchNorm1dImplBaseBase.num_batches_tracked(Tensor setter)
Tensor	Tensor.orgqr(Tensor input2)
Tensor	Tensor.ormqr(Tensor input2, Tensor input3)
Tensor	Tensor.ormqr(Tensor input2, Tensor input3, boolean left, boolean transpose)
Tensor	Tensor.orPut(Tensor other)
Tensor	Tensor.outer(Tensor vec2)
ASMoutput	ASMoutput.output(Tensor setter)
static TensorMaybeOwned	TensorMaybeOwned.owned(Tensor t)
BCEWithLogitsLossImpl	BCEWithLogitsLossImpl.pos_weight(Tensor setter)
Tensor	Tensor.pow_(Tensor exponent)
Tensor	Tensor.pow(Tensor exponent)
Tensor	AdaptiveLogSoftmaxWithLossImpl.predict(Tensor input) This is equivalent to log_pob(input).argmax(1) but is more efficient in some cases
TensorTensorTuple	Tensor.prelu_backward(Tensor grad_output, Tensor weight)
Tensor	Tensor.prelu(Tensor weight)
TensorVector	TensorVector.push_back(Tensor value)
TensorDeque	TensorDeque.push_back(Tensor value)
Tensor	Tensor.put_(Tensor index, Tensor source)
Tensor	Tensor.put_(Tensor index, Tensor source, boolean accumulate)
StringTensorPair	StringTensorPair.put(BytePointer firstValue, Tensor secondValue)
StringTensorMap	StringTensorMap.put(BytePointer i, Tensor value)
StringTensorDict	StringTensorDict.put(BytePointer i, Tensor value)
TensorVector	TensorVector.put(long i, Tensor value)
TensorDeque	TensorDeque.put(long i, Tensor value)
StringTensorPair	StringTensorPair.put(String firstValue, Tensor secondValue)
TensorVector	TensorVector.put(Tensor... array)
TensorDeque	TensorDeque.put(Tensor... array)
TensorVector	TensorVector.put(Tensor value)
TensorOptional	TensorOptional.put(Tensor value)
TensorDeque	TensorDeque.put(Tensor value)
Tensor	Tensor.put(Tensor x)
Tensor	Tensor.put(Tensor index, Tensor source)
Tensor	Tensor.put(Tensor index, Tensor source, boolean accumulate)
MultiheadAttentionImpl	MultiheadAttentionImpl.q_proj_weight(Tensor setter)
Tensor	Tensor.quantile(Tensor q)
Tensor	Tensor.quantile(Tensor q, LongOptional dim, boolean keepdim)
Tensor	Tensor.quantile(Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
void	InputArchive.read(BytePointer key, Tensor tensor)
void	InputArchive.read(BytePointer key, Tensor tensor, boolean is_buffer) Reads a tensor associated with a given key.
void	InputArchive.read(String key, Tensor tensor)
void	InputArchive.read(String key, Tensor tensor, boolean is_buffer)
Tensor	Module.register_buffer(BytePointer name, Tensor tensor) Registers a buffer with this Module.
void	JitModule.register_buffer(BytePointer name, Tensor v)
Tensor	Module.register_buffer(String name, Tensor tensor)
void	JitModule.register_buffer(String name, Tensor v)
Tensor	Module.register_parameter(BytePointer name, Tensor tensor)
Tensor	Module.register_parameter(BytePointer name, Tensor tensor, boolean requires_grad) Registers a parameter with this Module.
void	JitModule.register_parameter(BytePointer name, Tensor v, boolean is_buffer)
Tensor	Module.register_parameter(String name, Tensor tensor)
Tensor	Module.register_parameter(String name, Tensor tensor, boolean requires_grad)
void	JitModule.register_parameter(String name, Tensor v, boolean is_buffer)
Tensor	Tensor.remainder_(Tensor other)
Tensor	Tensor.remainder(Tensor other)
Tensor	Tensor.repeat_interleave(Tensor repeats)
Tensor	Tensor.repeat_interleave(Tensor repeats, LongOptional dim, LongOptional output_size)
Tensor	Tensor.reshape_as(Tensor other)
Tensor	Tensor.resize_as_(Tensor the_template)
Tensor	Tensor.resize_as_(Tensor the_template, MemoryFormatOptional memory_format)
InstanceNorm3dImplBaseBase	InstanceNorm3dImplBaseBase.running_mean(Tensor setter)
InstanceNorm2dImplBaseBase	InstanceNorm2dImplBaseBase.running_mean(Tensor setter)
InstanceNorm1dImplBaseBase	InstanceNorm1dImplBaseBase.running_mean(Tensor setter)
BatchNorm3dImplBaseBase	BatchNorm3dImplBaseBase.running_mean(Tensor setter)
BatchNorm2dImplBaseBase	BatchNorm2dImplBaseBase.running_mean(Tensor setter)
BatchNorm1dImplBaseBase	BatchNorm1dImplBaseBase.running_mean(Tensor setter)
InstanceNorm3dImplBaseBase	InstanceNorm3dImplBaseBase.running_var(Tensor setter)
InstanceNorm2dImplBaseBase	InstanceNorm2dImplBaseBase.running_var(Tensor setter)
InstanceNorm1dImplBaseBase	InstanceNorm1dImplBaseBase.running_var(Tensor setter)
BatchNorm3dImplBaseBase	BatchNorm3dImplBaseBase.running_var(Tensor setter)
BatchNorm2dImplBaseBase	BatchNorm2dImplBaseBase.running_var(Tensor setter)
BatchNorm1dImplBaseBase	BatchNorm1dImplBaseBase.running_var(Tensor setter)
Tensor	Tensor.scatter_(long dim, Tensor index, Scalar value)
Tensor	Tensor.scatter_(long dim, Tensor index, Scalar value, Pointer reduce)
Tensor	Tensor.scatter_(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter_(long dim, Tensor index, Tensor src, Pointer reduce)
Tensor	Tensor.scatter_add_(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter_add(Dimname dim, Tensor index, Tensor src)
Tensor	Tensor.scatter_add(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter(Dimname dim, Tensor index, Scalar value)
Tensor	Tensor.scatter(Dimname dim, Tensor index, Tensor src)
Tensor	Tensor.scatter(long dim, Tensor index, Scalar value)
Tensor	Tensor.scatter(long dim, Tensor index, Scalar value, Pointer reduce)
Tensor	Tensor.scatter(long dim, Tensor index, Tensor src)
Tensor	Tensor.scatter(long dim, Tensor index, Tensor src, Pointer reduce)
StringTensorPair	StringTensorPair.second(Tensor second)
Tensor	Tensor.set_(Tensor source)
void	Generator.set_state(Tensor new_state)
void	ForwardGrad.set_value(Tensor value, long level)
Tensor	Tensor.smm(Tensor mat2)
TensorTensorTuple	Tensor.solve(Tensor A)
Tensor	Tensor.sparse_mask(Tensor mask)
Tensor	Tensor.sspaddmm(Tensor mat1, Tensor mat2)
Tensor	Tensor.sspaddmm(Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
Tensor	Tensor.sub_(Tensor other)
Tensor	Tensor.sub_(Tensor other, Scalar alpha)
Tensor	Tensor.sub(Tensor other)
Tensor	Tensor.sub(Tensor other, Scalar alpha)
Tensor	Tensor.subtract_(Tensor other)
Tensor	Tensor.subtract_(Tensor other, Scalar alpha)
Tensor	Tensor.subtract(Tensor other)
Tensor	Tensor.subtract(Tensor other, Scalar alpha)
Tensor	Tensor.subtractPut(Tensor other)
JitNode	JitNode.t_(Symbol name, Tensor v)
Tensor	Tensor.take_along_dim(Tensor indices)
Tensor	Tensor.take_along_dim(Tensor indices, LongOptional dim)
Tensor	Tensor.take(Tensor index)
Example	Example.target(Tensor setter)
TensorVector	Tensor.tensor_split(Tensor tensor_indices_or_sections)
TensorVector	Tensor.tensor_split(Tensor tensor_indices_or_sections, long dim)
Tensor	Tensor.to(Tensor other)
Tensor	Tensor.to(Tensor other, boolean non_blocking, boolean copy, MemoryFormatOptional memory_format)
TensorTensorTuple	Tensor.triangular_solve(Tensor A)
TensorTensorTuple	Tensor.triangular_solve(Tensor A, boolean upper, boolean transpose, boolean unitriangular)
Tensor	Tensor.true_divide_(Tensor other)
Tensor	Tensor.true_divide(Tensor other)
boolean	InputArchive.try_read(BytePointer key, Tensor tensor)
boolean	InputArchive.try_read(BytePointer key, Tensor tensor, boolean is_buffer) Reads a tensor associated with a given key.
boolean	InputArchive.try_read(String key, Tensor tensor)
boolean	InputArchive.try_read(String key, Tensor tensor, boolean is_buffer)
Tensor	Tensor.type_as(Tensor other)
MultiheadAttentionImpl	MultiheadAttentionImpl.v_proj_weight(Tensor setter)
NamedTensor	NamedTensor.value(Tensor setter)
Tensor	Tensor.vdot(Tensor other)
Tensor	Tensor.view_as(Tensor other)
RNNCellImplBase	RNNCellImplBase.weight_hh(Tensor setter)
LSTMCellImplBase	LSTMCellImplBase.weight_hh(Tensor setter)
GRUCellImplBase	GRUCellImplBase.weight_hh(Tensor setter)
RNNCellImplBase	RNNCellImplBase.weight_ih(Tensor setter)
LSTMCellImplBase	LSTMCellImplBase.weight_ih(Tensor setter)
GRUCellImplBase	GRUCellImplBase.weight_ih(Tensor setter)
PReLUImpl	PReLUImpl.weight(Tensor setter)
NLLLossImpl	NLLLossImpl.weight(Tensor setter)
LinearImpl	LinearImpl.weight(Tensor setter)
LayerNormImpl	LayerNormImpl.weight(Tensor setter)
InstanceNorm3dImplBaseBase	InstanceNorm3dImplBaseBase.weight(Tensor setter)
InstanceNorm2dImplBaseBase	InstanceNorm2dImplBaseBase.weight(Tensor setter)
InstanceNorm1dImplBaseBase	InstanceNorm1dImplBaseBase.weight(Tensor setter)
GroupNormImpl	GroupNormImpl.weight(Tensor setter)
EmbeddingImpl	EmbeddingImpl.weight(Tensor setter)
EmbeddingBagImpl	EmbeddingBagImpl.weight(Tensor setter)
CrossEntropyLossImpl	CrossEntropyLossImpl.weight(Tensor setter)
ConvTranspose3dImplBaseBase	ConvTranspose3dImplBaseBase.weight(Tensor setter)
ConvTranspose2dImplBaseBase	ConvTranspose2dImplBaseBase.weight(Tensor setter)
ConvTranspose1dImplBaseBase	ConvTranspose1dImplBaseBase.weight(Tensor setter)
Conv3dImplBase	Conv3dImplBase.weight(Tensor setter)
Conv2dImplBase	Conv2dImplBase.weight(Tensor setter)
Conv1dImplBase	Conv1dImplBase.weight(Tensor setter)
BilinearImpl	BilinearImpl.weight(Tensor setter)
BatchNorm3dImplBaseBase	BatchNorm3dImplBaseBase.weight(Tensor setter)
BatchNorm2dImplBaseBase	BatchNorm2dImplBaseBase.weight(Tensor setter)
BatchNorm1dImplBaseBase	BatchNorm1dImplBaseBase.weight(Tensor setter)
BCEWithLogitsLossImpl	BCEWithLogitsLossImpl.weight(Tensor setter)
Tensor	Tensor.where(Tensor condition, Tensor other)
void	OutputArchive.write(BytePointer key, Tensor tensor)
void	OutputArchive.write(BytePointer key, Tensor tensor, boolean is_buffer) Writes a (key, tensor) pair to the OutputArchive, and marks it as being or not being a buffer (non-differentiable tensor).
void	OutputArchive.write(String key, Tensor tensor)
void	OutputArchive.write(String key, Tensor tensor, boolean is_buffer)
Tensor	Tensor.xlogy_(Tensor other)
Tensor	Tensor.xlogy(Tensor other)
Tensor	Tensor.xorPut(Tensor other)

Constructors in org.bytedeco.pytorch with parameters of type Tensor

Constructor and Description
ASMoutput(Tensor output_, double loss_)
Example(Tensor data, Tensor target)
InputMetadata(Tensor t)
IValue(Tensor t)
MultiheadAttentionForwardFuncOptions(long embed_dim_to_check, long num_heads, Tensor in_proj_weight, Tensor in_proj_bias, Tensor bias_k, Tensor bias_v, boolean add_zero_attn, double dropout_p, Tensor out_proj_weight, Tensor out_proj_bias)
PackedSequence(Tensor data, Tensor batch_sizes)
PackedSequence(Tensor data, Tensor batch_sizes, Tensor sorted_indices, Tensor unsorted_indices)
SavedVariable(Tensor variable, boolean is_output)
SavedVariable(Tensor variable, boolean is_output, boolean is_inplace_on_view)
StringTensorPair(BytePointer firstValue, Tensor secondValue)
StringTensorPair(String firstValue, Tensor secondValue)
Tensor(Tensor tensor)
TensorArg(Tensor tensor, BytePointer name, int pos)
TensorArg(Tensor tensor, String name, int pos)
TensorArrayRef(Tensor OneElt) Construct an ArrayRef from a single element.
TensorArrayRef(Tensor data, long length) Construct an ArrayRef from a pointer and length.
TensorArrayRef(Tensor begin, Tensor end) Construct an ArrayRef from a range.
TensorDeque(Tensor... array)
TensorDeque(Tensor value)
TensorGeometry(Tensor t)
TensorIndex(Tensor tensor)
TensorOptional(Tensor value)
TensorTensorDoubleLongTuple(Tensor value0, Tensor value1, double value2, long value3)
TensorTensorTensorTensorLongTuple(Tensor value0, Tensor value1, Tensor value2, Tensor value3, long value4)
TensorTensorTensorTensorTensorTuple(Tensor value0, Tensor value1, Tensor value2, Tensor value3, Tensor value4)
TensorTensorTensorTensorTuple(Tensor value0, Tensor value1, Tensor value2, Tensor value3)
TensorTensorTensorTensorVectorTuple(Tensor value0, Tensor value1, Tensor value2, TensorVector value3)
TensorTensorTensorTuple(Tensor value0, Tensor value1, Tensor value2)
TensorTensorTensorTupleTuple(Tensor value0, TensorTensorTuple value1)
TensorTensorTuple(Tensor value0, Tensor value1)
TensorTuple(Tensor value0)
TensorVector(Tensor... array)
TensorVector(Tensor value)
VariableInfo(Tensor var)

Uses of Tensor in org.bytedeco.pytorch.global

Methods in org.bytedeco.pytorch.global that return Tensor

Modifier and Type	Method and Description
static Tensor	torch.__and__(Tensor self, Scalar other)
static Tensor	torch.__and__(Tensor self, Tensor other)
static Tensor	torch.__dispatch_conj(Tensor self)
static Tensor	torch.__lshift__(Tensor self, Scalar other)
static Tensor	torch.__lshift__(Tensor self, Tensor other)
static Tensor	torch.__or__(Tensor self, Scalar other)
static Tensor	torch.__or__(Tensor self, Tensor other)
static Tensor	torch.__rshift__(Tensor self, Scalar other)
static Tensor	torch.__rshift__(Tensor self, Tensor other)
static Tensor	torch.__xor__(Tensor self, Scalar other)
static Tensor	torch.__xor__(Tensor self, Tensor other)
static Tensor	torch._adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self)
static Tensor	torch._adaptive_avg_pool2d(Tensor self, long... output_size)
static Tensor	torch._adaptive_avg_pool2d(Tensor self, LongArrayRef output_size)
static Tensor	torch._adaptive_avg_pool3d_backward(Tensor grad_output, Tensor self)
static Tensor	torch._adaptive_avg_pool3d(Tensor self, long... output_size)
static Tensor	torch._adaptive_avg_pool3d(Tensor self, LongArrayRef output_size)
static Tensor	torch._add_batch_dim(Tensor self, long batch_dim, long level)
static Tensor	torch._add_relu_(Tensor self, Scalar other)
static Tensor	torch._add_relu_(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch._add_relu_(Tensor self, Tensor other)
static Tensor	torch._add_relu_(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch._add_relu_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch._add_relu_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch._add_relu_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch._add_relu(Tensor self, Scalar other)
static Tensor	torch._add_relu(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch._add_relu(Tensor self, Tensor other)
static Tensor	torch._add_relu(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch._amp_update_scale_(Tensor self, Tensor growth_tracker, Tensor found_inf, double scale_growth_factor, double scale_backoff_factor, long growth_interval)
static Tensor	torch._baddbmm_mkl_(Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch._baddbmm_mkl_(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch._cast_Byte(Tensor self)
static Tensor	torch._cast_Byte(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Char(Tensor self)
static Tensor	torch._cast_Char(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Double(Tensor self)
static Tensor	torch._cast_Double(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Float(Tensor self)
static Tensor	torch._cast_Float(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Half(Tensor self)
static Tensor	torch._cast_Half(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Int(Tensor self)
static Tensor	torch._cast_Int(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Long(Tensor self)
static Tensor	torch._cast_Long(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Short(Tensor self)
static Tensor	torch._cast_Short(Tensor self, boolean non_blocking)
static Tensor	torch._cat_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch._cat_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch._cat_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch._cat(TensorArrayRef tensors)
static Tensor	torch._cat(TensorArrayRef tensors, long dim)
static Tensor	torch._cdist_backward(Tensor grad, Tensor x1, Tensor x2, double p, Tensor cdist)
static Tensor	torch._cdist_forward(Tensor x1, Tensor x2, double p, LongOptional compute_mode)
static Tensor	torch._cholesky_solve_helper(Tensor self, Tensor A, boolean upper)
static Tensor	torch._coalesce(Tensor self)
static Tensor	torch._compute_linear_combination_out(Tensor out, Tensor input, Tensor coefficients)
static Tensor	torch._compute_linear_combination_outf(Tensor input, Tensor coefficients, Tensor out)
static Tensor	torch._compute_linear_combination(Tensor input, Tensor coefficients)
static Tensor	torch._conj_physical(Tensor self)
static Tensor	torch._conj(Tensor self)
static Tensor	torch._conv_depthwise2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch._conv_depthwise2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch._conv_depthwise2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] dilation, Tensor out)
static Tensor	torch._conv_depthwise2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch._conv_depthwise2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch._conv_depthwise2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch._convert_indices_from_coo_to_csr_out(Tensor out, Tensor self, long size)
static Tensor	torch._convert_indices_from_coo_to_csr_out(Tensor out, Tensor self, long size, boolean out_int32)
static Tensor	torch._convert_indices_from_coo_to_csr_outf(Tensor self, long size, boolean out_int32, Tensor out)
static Tensor	torch._convert_indices_from_coo_to_csr(Tensor self, long size)
static Tensor	torch._convert_indices_from_coo_to_csr(Tensor self, long size, boolean out_int32)
static Tensor	torch._convolution_mode(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch._convolution_mode(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static Tensor	torch._convolution_nogroup(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long... output_padding)
static Tensor	torch._convolution_nogroup(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled, boolean allow_tf32)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled, boolean allow_tf32)
static Tensor	torch._copy_from_and_resize(Tensor self, Tensor dst)
static Tensor	torch._copy_from(Tensor self, Tensor dst)
static Tensor	torch._copy_from(Tensor self, Tensor dst, boolean non_blocking)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank, boolean zero_infinity)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank, boolean zero_infinity)
static Tensor	torch._cudnn_init_dropout_state(double dropout, boolean train, long dropout_seed, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._cudnn_init_dropout_state(double dropout, boolean train, long dropout_seed, TensorOptions options)
static Tensor	torch._cudnn_rnn_flatten_weight(TensorArrayRef weight_arr, long weight_stride0, long input_size, long mode, long hidden_size, long proj_size, long num_layers, boolean batch_first, boolean bidirectional)
static Tensor	torch._det_lu_based_helper_backward_helper(Tensor det_grad, Tensor det, Tensor self, Tensor lu, Tensor pivs)
static Tensor	torch._dim_arange(Tensor like, long dim)
static Tensor	torch._dirichlet_grad(Tensor x, Tensor alpha, Tensor total)
static Tensor	torch._embedding_bag_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights)
static Tensor	torch._embedding_bag_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, long padding_idx)
static Tensor	torch._embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights)
static Tensor	torch._embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights, long padding_idx)
static Tensor	torch._embedding_bag_per_sample_weights_backward(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, long mode)
static Tensor	torch._embedding_bag_per_sample_weights_backward(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, long mode, long padding_idx)
static Tensor	torch._embedding_bag_sparse_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights)
static Tensor	torch._embedding_bag_sparse_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights, long padding_idx)
static Tensor	torch._empty_affine_quantized(long... size)
static Tensor	torch._empty_affine_quantized(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, double scale, long zero_point, MemoryFormatOptional memory_format)
static Tensor	torch._empty_affine_quantized(long[] size, TensorOptions options, double scale, long zero_point, MemoryFormatOptional memory_format)
static Tensor	torch._empty_affine_quantized(LongArrayRef size)
static Tensor	torch._empty_affine_quantized(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, double scale, long zero_point, MemoryFormatOptional memory_format)
static Tensor	torch._empty_affine_quantized(LongArrayRef size, TensorOptions options, double scale, long zero_point, MemoryFormatOptional memory_format)
static Tensor	torch._empty_per_channel_affine_quantized(long[] size, Tensor scales, Tensor zero_points, long axis)
static Tensor	torch._empty_per_channel_affine_quantized(long[] size, Tensor scales, Tensor zero_points, long axis, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch._empty_per_channel_affine_quantized(long[] size, Tensor scales, Tensor zero_points, long axis, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch._empty_per_channel_affine_quantized(LongArrayRef size, Tensor scales, Tensor zero_points, long axis)
static Tensor	torch._empty_per_channel_affine_quantized(LongArrayRef size, Tensor scales, Tensor zero_points, long axis, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch._empty_per_channel_affine_quantized(LongArrayRef size, Tensor scales, Tensor zero_points, long axis, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch._euclidean_dist(Tensor x1, Tensor x2)
static Tensor	torch._fake_quantize_learnable_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max)
static Tensor	torch._fake_quantize_learnable_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max, double grad_factor)
static Tensor	torch._fake_quantize_learnable_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max)
static Tensor	torch._fake_quantize_learnable_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max, double grad_factor)
static Tensor	torch._fft_c2c_out(Tensor out, Tensor self, long[] dim, long normalization, boolean forward)
static Tensor	torch._fft_c2c_out(Tensor out, Tensor self, LongArrayRef dim, long normalization, boolean forward)
static Tensor	torch._fft_c2c_outf(Tensor self, long[] dim, long normalization, boolean forward, Tensor out)
static Tensor	torch._fft_c2c_outf(Tensor self, LongArrayRef dim, long normalization, boolean forward, Tensor out)
static Tensor	torch._fft_c2c(Tensor self, long[] dim, long normalization, boolean forward)
static Tensor	torch._fft_c2c(Tensor self, LongArrayRef dim, long normalization, boolean forward)
static Tensor	torch._fft_c2r_out(Tensor out, Tensor self, long[] dim, long normalization, long last_dim_size)
static Tensor	torch._fft_c2r_out(Tensor out, Tensor self, LongArrayRef dim, long normalization, long last_dim_size)
static Tensor	torch._fft_c2r_outf(Tensor self, long[] dim, long normalization, long last_dim_size, Tensor out)
static Tensor	torch._fft_c2r_outf(Tensor self, LongArrayRef dim, long normalization, long last_dim_size, Tensor out)
static Tensor	torch._fft_c2r(Tensor self, long[] dim, long normalization, long last_dim_size)
static Tensor	torch._fft_c2r(Tensor self, LongArrayRef dim, long normalization, long last_dim_size)
static Tensor	torch._fft_r2c_out(Tensor out, Tensor self, long[] dim, long normalization, boolean onesided)
static Tensor	torch._fft_r2c_out(Tensor out, Tensor self, LongArrayRef dim, long normalization, boolean onesided)
static Tensor	torch._fft_r2c_outf(Tensor self, long[] dim, long normalization, boolean onesided, Tensor out)
static Tensor	torch._fft_r2c_outf(Tensor self, LongArrayRef dim, long normalization, boolean onesided, Tensor out)
static Tensor	torch._fft_r2c(Tensor self, long[] dim, long normalization, boolean onesided)
static Tensor	torch._fft_r2c(Tensor self, LongArrayRef dim, long normalization, boolean onesided)
static Tensor	torch._gather_sparse_backward(Tensor self, long dim, Tensor index, Tensor grad)
static Tensor	torch._grid_sampler_2d_cpu_fallback(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch._index_copy_(Tensor self, long dim, Tensor index, Tensor source)
static Tensor	torch._inverse_helper(Tensor self)
static Tensor	torch._linalg_inv_out_helper_(Tensor self, Tensor infos_lu, Tensor infos_getri)
static Tensor	torch._log_softmax_backward_data_out(Tensor out, Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._log_softmax_backward_data_outf(Tensor grad_output, Tensor output, long dim, Tensor self, Tensor out)
static Tensor	torch._log_softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._log_softmax_out(Tensor out, Tensor self, long dim, boolean half_to_float)
static Tensor	torch._log_softmax_outf(Tensor self, long dim, boolean half_to_float, Tensor out)
static Tensor	torch._log_softmax(Tensor self, long dim, boolean half_to_float)
static Tensor	torch._logcumsumexp_out(Tensor out, Tensor self, long dim)
static Tensor	torch._logcumsumexp_outf(Tensor self, long dim, Tensor out)
static Tensor	torch._logcumsumexp(Tensor self, long dim)
static Tensor	torch._make_dual(Tensor primal, Tensor tangent, long level)
static Tensor	torch._make_per_channel_quantized_tensor(Tensor self, Tensor scale, Tensor zero_point, long axis)
static Tensor	torch._make_per_tensor_quantized_tensor(Tensor self, double scale, long zero_point)
static Tensor	torch._masked_scale(Tensor self, Tensor mask, double scale)
static Tensor	torch._mkldnn_reshape(Tensor self, long... shape)
static Tensor	torch._mkldnn_reshape(Tensor self, LongArrayRef shape)
static Tensor	torch._mkldnn_transpose_(Tensor self, long dim0, long dim1)
static Tensor	torch._mkldnn_transpose(Tensor self, long dim0, long dim1)
static Tensor	torch._narrow_with_range(Tensor input, long dim, long start, long end)
static Tensor	torch._neg_view(Tensor self)
static Tensor	torch._nnpack_spatial_convolution_backward_input(Tensor input, Tensor grad_output, Tensor weight, long... padding)
static Tensor	torch._nnpack_spatial_convolution_backward_input(Tensor input, Tensor grad_output, Tensor weight, LongArrayRef padding)
static Tensor	torch._nnpack_spatial_convolution_backward_weight(Tensor input, long[] weightsize, Tensor grad_output, long... padding)
static Tensor	torch._nnpack_spatial_convolution_backward_weight(Tensor input, LongArrayRef weightsize, Tensor grad_output, LongArrayRef padding)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, long... padding)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, long[] padding, long... stride)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef padding)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch._pack_padded_sequence_backward(Tensor grad, long[] input_size, Tensor batch_sizes, boolean batch_first)
static Tensor	torch._pack_padded_sequence_backward(Tensor grad, LongArrayRef input_size, Tensor batch_sizes, boolean batch_first)
static Tensor	torch._pad_circular(Tensor input, long... padding)
static Tensor	torch._pad_circular(Tensor input, LongArrayRef padding)
static Tensor	torch._pdist_backward(Tensor grad, Tensor self, double p, Tensor pdist)
static Tensor	torch._pdist_forward(Tensor self)
static Tensor	torch._pdist_forward(Tensor self, double p)
static Tensor	torch._pin_memory(Tensor self)
static Tensor	torch._pin_memory(Tensor self, DeviceOptional device)
static Tensor	torch._remove_batch_dim(Tensor self, long level, long batch_size, long out_dim)
static Tensor	torch._reshape_alias(Tensor self, long[] size, long... stride)
static Tensor	torch._reshape_alias(Tensor self, LongArrayRef size, LongArrayRef stride)
static Tensor	torch._reshape_from_tensor(Tensor self, Tensor shape)
static Tensor	torch._s_where(Tensor condition, Tensor self, Tensor other)
static Tensor	torch._sample_dirichlet(Tensor self)
static Tensor	torch._sample_dirichlet(Tensor self, GeneratorOptional generator)
static Tensor	torch._saturate_weight_to_fp16(Tensor weight)
static Tensor	torch._segment_reduce_backward(Tensor grad, Tensor output, Tensor data, Pointer reduce)
static Tensor	torch._segment_reduce_backward(Tensor grad, Tensor output, Tensor data, Pointer reduce, TensorOptional lengths, long axis)
static Tensor	torch._shape_as_tensor(Tensor self)
static Tensor	torch._smooth_l1_loss(Tensor input, Tensor target)
static Tensor	torch._smooth_l1_loss(Tensor input, Tensor target, double beta)
static Tensor	torch._sobol_engine_ff_(Tensor self, long n, Tensor sobolstate, long dimension, long num_generated)
static Tensor	torch._sobol_engine_initialize_state_(Tensor self, long dimension)
static Tensor	torch._sobol_engine_scramble_(Tensor self, Tensor ltm, long dimension)
static Tensor	torch._softmax_backward_data_out(Tensor grad_input, Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._softmax_backward_data_outf(Tensor grad_output, Tensor output, long dim, Tensor self, Tensor grad_input)
static Tensor	torch._softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._softmax_out(Tensor out, Tensor self, long dim, boolean half_to_float)
static Tensor	torch._softmax_outf(Tensor self, long dim, boolean half_to_float, Tensor out)
static Tensor	torch._softmax(Tensor self, long dim, boolean half_to_float)
static Tensor	torch._sparse_addmm(Tensor self, Tensor sparse, Tensor dense)
static Tensor	torch._sparse_addmm(Tensor self, Tensor sparse, Tensor dense, Scalar beta, Scalar alpha)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, long... size)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, LongArrayRef size)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, long[] size, Tensor indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, long[] size, Tensor indices, Tensor values, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, LongArrayRef size, Tensor indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, LongArrayRef size, Tensor indices, Tensor values, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_with_dims(long sparse_dim, long dense_dim, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_with_dims(long sparse_dim, long dense_dim, long[] size, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_with_dims(long sparse_dim, long dense_dim, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_with_dims(long sparse_dim, long dense_dim, LongArrayRef size, TensorOptions options)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, long... size)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch._sparse_log_softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._sparse_log_softmax(Tensor self, Dimname dim)
static Tensor	torch._sparse_log_softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_log_softmax(Tensor self, long dim)
static Tensor	torch._sparse_log_softmax(Tensor self, long dim, boolean half_to_float)
static Tensor	torch._sparse_log_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_mask_helper(Tensor t, Tensor mask_indices)
static Tensor	torch._sparse_mm(Tensor sparse, Tensor dense)
static Tensor	torch._sparse_softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._sparse_softmax(Tensor self, Dimname dim)
static Tensor	torch._sparse_softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_softmax(Tensor self, long dim)
static Tensor	torch._sparse_softmax(Tensor self, long dim, boolean half_to_float)
static Tensor	torch._sparse_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_sparse_matmul(Tensor self, Tensor other)
static Tensor	torch._sparse_sum_backward(Tensor grad, Tensor self, long... dim)
static Tensor	torch._sparse_sum_backward(Tensor grad, Tensor self, LongArrayRef dim)
static Tensor	torch._sparse_sum(Tensor self)
static Tensor	torch._sparse_sum(Tensor self, long... dim)
static Tensor	torch._sparse_sum(Tensor self, long[] dim, torch.ScalarType dtype)
static Tensor	torch._sparse_sum(Tensor self, LongArrayRef dim)
static Tensor	torch._sparse_sum(Tensor self, LongArrayRef dim, torch.ScalarType dtype)
static Tensor	torch._sparse_sum(Tensor self, torch.ScalarType dtype)
static Tensor	torch._stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch._stack_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch._stack_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch._stack(TensorArrayRef tensors)
static Tensor	torch._stack(TensorArrayRef tensors, long dim)
static Tensor	torch._standard_gamma_grad(Tensor self, Tensor output)
static Tensor	torch._standard_gamma(Tensor self)
static Tensor	torch._standard_gamma(Tensor self, GeneratorOptional generator)
static Tensor	torch._to_copy(Tensor self)
static Tensor	torch._to_copy(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, boolean non_blocking, MemoryFormatOptional memory_format)
static Tensor	torch._to_copy(Tensor self, TensorOptions options, boolean non_blocking, MemoryFormatOptional memory_format)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, long[] expand1, long[] expand2, long[] expand3, long... sumdim)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, long[] expand1, long[] expand2, long[] expand3, long[] sumdim, long unroll_dim)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, LongArrayRef expand1, LongArrayRef expand2, LongArrayRef expand3, LongArrayRef sumdim)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, LongArrayRef expand1, LongArrayRef expand2, LongArrayRef expand3, LongArrayRef sumdim, long unroll_dim)
static Tensor	torch._unsafe_view(Tensor self, long... size)
static Tensor	torch._unsafe_view(Tensor self, LongArrayRef size)
static Tensor	torch._weight_norm(Tensor v, Tensor g)
static Tensor	torch._weight_norm(Tensor v, Tensor g, long dim)
static Tensor	torch.abs_(Tensor self)
static Tensor	torch.abs_out(Tensor out, Tensor self)
static Tensor	torch.abs_outf(Tensor self, Tensor out)
static Tensor	torch.abs(Tensor self)
static Tensor	torch.absolute_out(Tensor out, Tensor self)
static Tensor	torch.absolute_outf(Tensor self, Tensor out)
static Tensor	torch.absolute(Tensor self)
static Tensor	torch.acos_(Tensor self)
static Tensor	torch.acos_out(Tensor out, Tensor self)
static Tensor	torch.acos_outf(Tensor self, Tensor out)
static Tensor	torch.acos(Tensor self)
static Tensor	torch.acosh_(Tensor self)
static Tensor	torch.acosh_out(Tensor out, Tensor self)
static Tensor	torch.acosh_outf(Tensor self, Tensor out)
static Tensor	torch.acosh(Tensor self)
static Tensor	torch.adaptive_avg_pool1d(Tensor input, AdaptiveAvgPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_avg_pool1d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_avg_pool1d(Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool1d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool1d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_avg_pool2d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool2d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool2d_outf(Tensor self, long[] output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool2d_outf(Tensor self, LongArrayRef output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool2d(Tensor input, AdaptiveAvgPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_avg_pool2d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_avg_pool2d(Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool2d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool2d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_avg_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.adaptive_avg_pool3d_backward_outf(Tensor grad_output, Tensor self, Tensor grad_input)
static Tensor	torch.adaptive_avg_pool3d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool3d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool3d_outf(Tensor self, long[] output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool3d_outf(Tensor self, LongArrayRef output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool3d(Tensor input, AdaptiveAvgPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_avg_pool3d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_avg_pool3d(Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool3d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool3d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool1d(Tensor input, AdaptiveMaxPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_max_pool1d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_max_pool1d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices)
static Tensor	torch.adaptive_max_pool2d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, Tensor grad_input)
static Tensor	torch.adaptive_max_pool2d_backward(Tensor grad_output, Tensor self, Tensor indices)
static Tensor	torch.adaptive_max_pool2d(Tensor input, AdaptiveMaxPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_max_pool2d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_max_pool2d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices)
static Tensor	torch.adaptive_max_pool3d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, Tensor grad_input)
static Tensor	torch.adaptive_max_pool3d_backward(Tensor grad_output, Tensor self, Tensor indices)
static Tensor	torch.adaptive_max_pool3d(Tensor input, AdaptiveMaxPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_max_pool3d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_max_pool3d(Tensor input, LongPointer output_size)
static Tensor	torch.add_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.add_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.add_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch.add(Scalar x, Tensor y)
static Tensor	torch.add(Tensor self, Scalar other)
static Tensor	torch.add(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.add(Tensor self, Tensor other)
static Tensor	torch.add(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.addbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.addbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.addbmm_outf(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addbmm(Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.addbmm(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.addcdiv_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcdiv_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static Tensor	torch.addcdiv_outf(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value, Tensor out)
static Tensor	torch.addcdiv(Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcdiv(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static Tensor	torch.addcmul_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcmul_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static Tensor	torch.addcmul_outf(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value, Tensor out)
static Tensor	torch.addcmul(Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcmul(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static Tensor	torch.addmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.addmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.addmm_outf(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addmm(Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.addmm(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.addmv_(Tensor self, Tensor mat, Tensor vec)
static Tensor	torch.addmv_(Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
static Tensor	torch.addmv_out(Tensor out, Tensor self, Tensor mat, Tensor vec)
static Tensor	torch.addmv_out(Tensor out, Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
static Tensor	torch.addmv_outf(Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addmv(Tensor self, Tensor mat, Tensor vec)
static Tensor	torch.addmv(Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
static Tensor	torch.addr_out(Tensor out, Tensor self, Tensor vec1, Tensor vec2)
static Tensor	torch.addr_out(Tensor out, Tensor self, Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
static Tensor	torch.addr_outf(Tensor self, Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addr(Tensor self, Tensor vec1, Tensor vec2)
static Tensor	torch.addr(Tensor self, Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
static Tensor	torch.affine_grid_generator_backward(Tensor grad, long[] size, boolean align_corners)
static Tensor	torch.affine_grid_generator_backward(Tensor grad, LongArrayRef size, boolean align_corners)
static Tensor	torch.affine_grid_generator(Tensor theta, long[] size, boolean align_corners)
static Tensor	torch.affine_grid_generator(Tensor theta, LongArrayRef size, boolean align_corners)
static Tensor	torch.affine_grid(Tensor theta, long... size)
static Tensor	torch.affine_grid(Tensor theta, long[] size, boolean align_corners)
static Tensor	torch.affine_grid(Tensor theta, LongArrayRef size)
static Tensor	torch.affine_grid(Tensor theta, LongArrayRef size, boolean align_corners)
static Tensor	torch.alias(Tensor self)
static Tensor	torch.all_out(Tensor out, Tensor self)
static Tensor	torch.all_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.all_out(Tensor out, Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.all_out(Tensor out, Tensor self, long dim)
static Tensor	torch.all_out(Tensor out, Tensor self, long dim, boolean keepdim)
static Tensor	torch.all_outf(Tensor self, Dimname dim, boolean keepdim, Tensor out)
static Tensor	torch.all_outf(Tensor self, long dim, boolean keepdim, Tensor out)
static Tensor	torch.all_outf(Tensor self, Tensor out)
static Tensor	torch.all(Tensor self)
static Tensor	torch.all(Tensor self, Dimname dim)
static Tensor	torch.all(Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.all(Tensor self, long dim)
static Tensor	torch.all(Tensor self, long dim, boolean keepdim)
static Tensor	torch.alpha_dropout_(Tensor self, double p, boolean train)
static Tensor	torch.alpha_dropout(Tensor input)
static Tensor	torch.alpha_dropout(Tensor input, AlphaDropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.alpha_dropout /** about the exact behavior of this functional.
static Tensor	torch.alpha_dropout(Tensor input, double p, boolean train)
static Tensor	torch.alpha_dropout(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.amax_out(Tensor out, Tensor self)
static Tensor	torch.amax_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amax_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.amax_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.amax_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.amax(Tensor self)
static Tensor	torch.amax(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amax(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.amin_out(Tensor out, Tensor self)
static Tensor	torch.amin_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amin_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.amin_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.amin_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.amin(Tensor self)
static Tensor	torch.amin(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amin(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.and(Scalar x, Tensor y)
static Tensor	torch.and(Tensor x, Scalar y)
static Tensor	torch.and(Tensor x, Tensor y)
static Tensor	torch.angle_out(Tensor out, Tensor self)
static Tensor	torch.angle_outf(Tensor self, Tensor out)
static Tensor	torch.angle(Tensor self)
static Tensor	torch.any_out(Tensor out, Tensor self)
static Tensor	torch.any_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.any_out(Tensor out, Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.any_out(Tensor out, Tensor self, long dim)
static Tensor	torch.any_out(Tensor out, Tensor self, long dim, boolean keepdim)
static Tensor	torch.any_outf(Tensor self, Dimname dim, boolean keepdim, Tensor out)
static Tensor	torch.any_outf(Tensor self, long dim, boolean keepdim, Tensor out)
static Tensor	torch.any_outf(Tensor self, Tensor out)
static Tensor	torch.any(Tensor self)
static Tensor	torch.any(Tensor self, Dimname dim)
static Tensor	torch.any(Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.any(Tensor self, long dim)
static Tensor	torch.any(Tensor self, long dim, boolean keepdim)
static Tensor	torch.applySelect(Tensor self, long dim, long index, long real_dim, Device self_device, long... self_sizes)
static Tensor	torch.applySelect(Tensor self, long dim, long index, long real_dim, Device self_device, LongArrayRef self_sizes)
static Tensor	torch.applySlice(Tensor self, long dim, long start, long stop, long step, boolean disable_slice_optimization, Device self_device, long... self_sizes)
static Tensor	torch.applySlice(Tensor self, long dim, long start, long stop, long step, boolean disable_slice_optimization, Device self_device, LongArrayRef self_sizes)
static Tensor	torch.applySlicing(Tensor self, TensorIndexArrayRef indices, TensorVector outIndices, boolean disable_slice_optimization, Device self_device, long... self_sizes)
static Tensor	torch.applySlicing(Tensor self, TensorIndexArrayRef indices, TensorVector outIndices, boolean disable_slice_optimization, Device self_device, LongArrayRef self_sizes)
static Tensor	torch.arange_out(Tensor out, Scalar end)
static Tensor	torch.arange_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.arange_out(Tensor out, Scalar start, Scalar end, Scalar step)
static Tensor	torch.arange_outf(Scalar start, Scalar end, Scalar step, Tensor out)
static Tensor	torch.arange_outf(Scalar end, Tensor out)
static Tensor	torch.arange(Scalar end)
static Tensor	torch.arange(Scalar start, Scalar end)
static Tensor	torch.arange(Scalar start, Scalar end, Scalar step)
static Tensor	torch.arange(Scalar start, Scalar end, Scalar step, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.arange(Scalar start, Scalar end, Scalar step, TensorOptions options)
static Tensor	torch.arange(Scalar start, Scalar end, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.arange(Scalar start, Scalar end, TensorOptions options)
static Tensor	torch.arange(Scalar end, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.arange(Scalar end, TensorOptions options)
static Tensor	torch.arccos_(Tensor self)
static Tensor	torch.arccos_out(Tensor out, Tensor self)
static Tensor	torch.arccos_outf(Tensor self, Tensor out)
static Tensor	torch.arccos(Tensor self)
static Tensor	torch.arccosh_(Tensor self)
static Tensor	torch.arccosh_out(Tensor out, Tensor self)
static Tensor	torch.arccosh_outf(Tensor self, Tensor out)
static Tensor	torch.arccosh(Tensor self)
static Tensor	torch.arcsin_(Tensor self)
static Tensor	torch.arcsin_out(Tensor out, Tensor self)
static Tensor	torch.arcsin_outf(Tensor self, Tensor out)
static Tensor	torch.arcsin(Tensor self)
static Tensor	torch.arcsinh_(Tensor self)
static Tensor	torch.arcsinh_out(Tensor out, Tensor self)
static Tensor	torch.arcsinh_outf(Tensor self, Tensor out)
static Tensor	torch.arcsinh(Tensor self)
static Tensor	torch.arctan_(Tensor self)
static Tensor	torch.arctan_out(Tensor out, Tensor self)
static Tensor	torch.arctan_outf(Tensor self, Tensor out)
static Tensor	torch.arctan(Tensor self)
static Tensor	torch.arctanh_(Tensor self)
static Tensor	torch.arctanh_out(Tensor out, Tensor self)
static Tensor	torch.arctanh_outf(Tensor self, Tensor out)
static Tensor	torch.arctanh(Tensor self)
static Tensor	torch.argmax_out(Tensor out, Tensor self)
static Tensor	torch.argmax_out(Tensor out, Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argmax_outf(Tensor self, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.argmax(Tensor self)
static Tensor	torch.argmax(Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argmin_out(Tensor out, Tensor self)
static Tensor	torch.argmin_out(Tensor out, Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argmin_outf(Tensor self, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.argmin(Tensor self)
static Tensor	torch.argmin(Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argsort(Tensor self)
static Tensor	torch.argsort(Tensor self, Dimname dim)
static Tensor	torch.argsort(Tensor self, Dimname dim, boolean descending)
static Tensor	torch.argsort(Tensor self, long dim, boolean descending)
static Tensor	torch.as_strided_(Tensor self, long[] size, long... stride)
static Tensor	torch.as_strided_(Tensor self, long[] size, long[] stride, LongOptional storage_offset)
static Tensor	torch.as_strided_(Tensor self, LongArrayRef size, LongArrayRef stride)
static Tensor	torch.as_strided_(Tensor self, LongArrayRef size, LongArrayRef stride, LongOptional storage_offset)
static Tensor	torch.as_strided(Tensor self, long[] size, long... stride)
static Tensor	torch.as_strided(Tensor self, long[] size, long[] stride, LongOptional storage_offset)
static Tensor	torch.as_strided(Tensor self, LongArrayRef size, LongArrayRef stride)
static Tensor	torch.as_strided(Tensor self, LongArrayRef size, LongArrayRef stride, LongOptional storage_offset)
static Tensor	torch.asin_(Tensor self)
static Tensor	torch.asin_out(Tensor out, Tensor self)
static Tensor	torch.asin_outf(Tensor self, Tensor out)
static Tensor	torch.asin(Tensor self)
static Tensor	torch.asinh_(Tensor self)
static Tensor	torch.asinh_out(Tensor out, Tensor self)
static Tensor	torch.asinh_outf(Tensor self, Tensor out)
static Tensor	torch.asinh(Tensor self)
static Tensor	torch.atan_(Tensor self)
static Tensor	torch.atan_out(Tensor out, Tensor self)
static Tensor	torch.atan_outf(Tensor self, Tensor out)
static Tensor	torch.atan(Tensor self)
static Tensor	torch.atan2_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.atan2_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.atan2(Tensor self, Tensor other)
static Tensor	torch.atanh_(Tensor self)
static Tensor	torch.atanh_out(Tensor out, Tensor self)
static Tensor	torch.atanh_outf(Tensor self, Tensor out)
static Tensor	torch.atanh(Tensor self)
static Tensor	torch.atleast_1d(Tensor self)
static Tensor	torch.atleast_2d(Tensor self)
static Tensor	torch.atleast_3d(Tensor self)
static Tensor	torch.avg_pool1d(Tensor input, AvgPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.avg_pool1d /** about the exact behavior of this functional.
static Tensor	torch.avg_pool1d(Tensor self, long... kernel_size)
static Tensor	torch.avg_pool1d(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad)
static Tensor	torch.avg_pool1d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool1d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad)
static Tensor	torch.avg_pool1d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, boolean ceil_mode, boolean count_include_pad)
static Tensor	torch.avg_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool2d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, long... kernel_size)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool2d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool2d(Tensor input, AvgPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.avg_pool2d /** about the exact behavior of this functional.
static Tensor	torch.avg_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.avg_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool3d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, long... kernel_size)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool3d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool3d(Tensor input, AvgPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.avg_pool3d /** about the exact behavior of this functional.
static Tensor	torch.avg_pool3d(Tensor self, long... kernel_size)
static Tensor	torch.avg_pool3d(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool3d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.baddbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.baddbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.baddbmm_outf(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.baddbmm(Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.baddbmm(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.bartlett_window(long window_length)
static Tensor	torch.bartlett_window(long window_length, boolean periodic)
static Tensor	torch.bartlett_window(long window_length, boolean periodic, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.bartlett_window(long window_length, boolean periodic, TensorOptions options)
static Tensor	torch.bartlett_window(long window_length, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.bartlett_window(long window_length, TensorOptions options)
static Tensor	torch.batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count)
static Tensor	torch.batch_norm_elemt_out(Tensor out, Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps)
static Tensor	torch.batch_norm_elemt_outf(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps, Tensor out)
static Tensor	torch.batch_norm_elemt(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps)
static Tensor	torch.batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps, boolean cudnn_enabled)
static Tensor	torch.batch_norm(Tensor input, Tensor running_mean, Tensor running_var)
static Tensor	torch.batch_norm(Tensor input, Tensor running_mean, Tensor running_var, BatchNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.batch_norm /** about the exact behavior of this functional.
static Tensor	torch.batch_norm(Tensor input, Tensor running_mean, Tensor running_var, Tensor weight, Tensor bias, boolean training, DoubleOptional momentum, double eps)
static Tensor	torch.bernoulli_out(Tensor out, Tensor self)
static Tensor	torch.bernoulli_out(Tensor out, Tensor self, GeneratorOptional generator)
static Tensor	torch.bernoulli_outf(Tensor self, GeneratorOptional generator, Tensor out)
static Tensor	torch.bernoulli(Tensor self)
static Tensor	torch.bernoulli(Tensor self, double p)
static Tensor	torch.bernoulli(Tensor self, double p, GeneratorOptional generator)
static Tensor	torch.bernoulli(Tensor self, GeneratorOptional generator)
static Tensor	torch.bilinear(Tensor input1, Tensor input2, Tensor weight)
static Tensor	torch.bilinear(Tensor input1, Tensor input2, Tensor weight, Tensor bias)
static Tensor	torch.bilinear(Tensor input1, Tensor input2, Tensor weight, TensorOptional bias)
static Tensor	torch.binary_cross_entropy_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, Tensor grad_input)
static Tensor	torch.binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, Tensor out)
static Tensor	torch.binary_cross_entropy_with_logits_backward(Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_with_logits_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, TensorOptional pos_weight, long reduction)
static Tensor	torch.binary_cross_entropy_with_logits(Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_with_logits(Tensor input, Tensor target, BCEWithLogitsLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.binary_cross_entropy_with_logits /** about the exact behavior of this functional.
static Tensor	torch.binary_cross_entropy_with_logits(Tensor input, Tensor target, Tensor weight, loss_reduction_t reduction, Tensor pos_weight)
static Tensor	torch.binary_cross_entropy_with_logits(Tensor self, Tensor target, TensorOptional weight, TensorOptional pos_weight, long reduction)
static Tensor	torch.binary_cross_entropy(Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy(Tensor input, Tensor target, BCELossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.binary_cross_entropy /** about the exact behavior of this functional.
static Tensor	torch.binary_cross_entropy(Tensor input, Tensor target, Tensor weight, loss_reduction_t reduction)
static Tensor	torch.binary_cross_entropy(Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.bincount(Tensor self)
static Tensor	torch.bincount(Tensor self, TensorOptional weights, long minlength)
static Tensor	torch.binomial(Tensor count, Tensor prob)
static Tensor	torch.binomial(Tensor count, Tensor prob, GeneratorOptional generator)
static Tensor	torch.bitwise_and_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_and_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_and_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_and_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_and(Tensor self, Scalar other)
static Tensor	torch.bitwise_and(Tensor self, Tensor other)
static Tensor	torch.bitwise_left_shift_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_left_shift_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_left_shift_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_left_shift_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_left_shift(Scalar self, Tensor other)
static Tensor	torch.bitwise_left_shift(Tensor self, Scalar other)
static Tensor	torch.bitwise_left_shift(Tensor self, Tensor other)
static Tensor	torch.bitwise_not_out(Tensor out, Tensor self)
static Tensor	torch.bitwise_not_outf(Tensor self, Tensor out)
static Tensor	torch.bitwise_not(Tensor self)
static Tensor	torch.bitwise_or_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_or_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_or_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_or_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_or(Tensor self, Scalar other)
static Tensor	torch.bitwise_or(Tensor self, Tensor other)
static Tensor	torch.bitwise_right_shift_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_right_shift_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_right_shift_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_right_shift_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_right_shift(Scalar self, Tensor other)
static Tensor	torch.bitwise_right_shift(Tensor self, Scalar other)
static Tensor	torch.bitwise_right_shift(Tensor self, Tensor other)
static Tensor	torch.bitwise_xor_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_xor_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_xor_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_xor_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_xor(Tensor self, Scalar other)
static Tensor	torch.bitwise_xor(Tensor self, Tensor other)
static Tensor	torch.blackman_window(long window_length)
static Tensor	torch.blackman_window(long window_length, boolean periodic)
static Tensor	torch.blackman_window(long window_length, boolean periodic, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.blackman_window(long window_length, boolean periodic, TensorOptions options)
static Tensor	torch.blackman_window(long window_length, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.blackman_window(long window_length, TensorOptions options)
static Tensor	torch.block_diag(TensorArrayRef tensors)
static Tensor	torch.bmm_out(Tensor out, Tensor self, Tensor mat2)
static Tensor	torch.bmm_outf(Tensor self, Tensor mat2, Tensor out)
static Tensor	torch.bmm(Tensor self, Tensor mat2)
static Tensor	torch.boolToIndexingTensor(Tensor self, boolean value, Device self_device)
static Tensor	torch.boolToIndexingTensorCPUOrCUDA(Tensor self, boolean value)
static Tensor	torch.boolToIndexingTensorNonNativeDeviceType(Tensor self, boolean value)
static Tensor	torch.broadcast_to(Tensor self, long... size)
static Tensor	torch.broadcast_to(Tensor self, LongArrayRef size)
static Tensor	torch.bucketize_out(Tensor out, Tensor self, Tensor boundaries)
static Tensor	torch.bucketize_out(Tensor out, Tensor self, Tensor boundaries, boolean out_int32, boolean right)
static Tensor	torch.bucketize_outf(Tensor self, Tensor boundaries, boolean out_int32, boolean right, Tensor out)
static Tensor	torch.bucketize(Scalar self, Tensor boundaries)
static Tensor	torch.bucketize(Scalar self, Tensor boundaries, boolean out_int32, boolean right)
static Tensor	torch.bucketize(Tensor self, Tensor boundaries)
static Tensor	torch.bucketize(Tensor self, Tensor boundaries, boolean out_int32, boolean right)
static Tensor	torch.cartesian_prod(TensorArrayRef tensors)
static Tensor	torch.cat_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.cat_out(Tensor out, TensorArrayRef tensors, Dimname dim)
static Tensor	torch.cat_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch.cat_outf(TensorArrayRef tensors, Dimname dim, Tensor out)
static Tensor	torch.cat_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch.cat(TensorArrayRef tensors)
static Tensor	torch.cat(TensorArrayRef tensors, Dimname dim)
static Tensor	torch.cat(TensorArrayRef tensors, long dim)
static Tensor	torch.cdist(Tensor x1, Tensor x2)
static Tensor	torch.cdist(Tensor x1, Tensor x2, double p, LongOptional compute_mode)
static Tensor	torch.ceil_(Tensor self)
static Tensor	torch.ceil_out(Tensor out, Tensor self)
static Tensor	torch.ceil_outf(Tensor self, Tensor out)
static Tensor	torch.ceil(Tensor self)
static Tensor	torch.celu_(Tensor self)
static Tensor	torch.celu_(Tensor self, Scalar alpha)
static Tensor	torch.celu(Tensor self)
static Tensor	torch.celu(Tensor input, CELUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.celu /** about the exact behavior of this functional.
static Tensor	torch.celu(Tensor input, double alpha, boolean inplace)
static Tensor	torch.celu(Tensor self, Scalar alpha)
static Tensor	torch.chain_matmul_out(Tensor out, TensorArrayRef matrices)
static Tensor	torch.chain_matmul_outf(TensorArrayRef matrices, Tensor out)
static Tensor	torch.chain_matmul(TensorArrayRef matrices)
static Tensor	torch.channel_shuffle(Tensor self, long groups)
static Tensor	torch.cholesky_inverse_out(Tensor out, Tensor self)
static Tensor	torch.cholesky_inverse_out(Tensor out, Tensor self, boolean upper)
static Tensor	torch.cholesky_inverse_outf(Tensor self, boolean upper, Tensor out)
static Tensor	torch.cholesky_inverse(Tensor self)
static Tensor	torch.cholesky_inverse(Tensor self, boolean upper)
static Tensor	torch.cholesky_out(Tensor out, Tensor self)
static Tensor	torch.cholesky_out(Tensor out, Tensor self, boolean upper)
static Tensor	torch.cholesky_outf(Tensor self, boolean upper, Tensor out)
static Tensor	torch.cholesky_solve_out(Tensor out, Tensor self, Tensor input2)
static Tensor	torch.cholesky_solve_out(Tensor out, Tensor self, Tensor input2, boolean upper)
static Tensor	torch.cholesky_solve_outf(Tensor self, Tensor input2, boolean upper, Tensor out)
static Tensor	torch.cholesky_solve(Tensor self, Tensor input2)
static Tensor	torch.cholesky_solve(Tensor self, Tensor input2, boolean upper)
static Tensor	torch.cholesky(Tensor self)
static Tensor	torch.cholesky(Tensor self, boolean upper)
static Tensor	torch.clamp_(Tensor self)
static Tensor	torch.clamp_(Tensor self, ScalarOptional min)
static Tensor	torch.clamp_(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clamp_(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clamp_max_(Tensor self, Scalar max)
static Tensor	torch.clamp_max_(Tensor self, Tensor max)
static Tensor	torch.clamp_max_out(Tensor out, Tensor self, Scalar max)
static Tensor	torch.clamp_max_out(Tensor out, Tensor self, Tensor max)
static Tensor	torch.clamp_max_outf(Tensor self, Scalar max, Tensor out)
static Tensor	torch.clamp_max_outf(Tensor self, Tensor max, Tensor out)
static Tensor	torch.clamp_max(Tensor self, Scalar max)
static Tensor	torch.clamp_max(Tensor self, Tensor max)
static Tensor	torch.clamp_min_(Tensor self, Scalar min)
static Tensor	torch.clamp_min_(Tensor self, Tensor min)
static Tensor	torch.clamp_min_out(Tensor out, Tensor self, Scalar min)
static Tensor	torch.clamp_min_out(Tensor out, Tensor self, Tensor min)
static Tensor	torch.clamp_min_outf(Tensor self, Scalar min, Tensor out)
static Tensor	torch.clamp_min_outf(Tensor self, Tensor min, Tensor out)
static Tensor	torch.clamp_min(Tensor self, Scalar min)
static Tensor	torch.clamp_min(Tensor self, Tensor min)
static Tensor	torch.clamp_out(Tensor out, Tensor self)
static Tensor	torch.clamp_out(Tensor out, Tensor self, ScalarOptional min)
static Tensor	torch.clamp_out(Tensor out, Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clamp_out(Tensor out, Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clamp_outf(Tensor self, ScalarOptional min, ScalarOptional max, Tensor out)
static Tensor	torch.clamp_outf(Tensor self, TensorOptional min, TensorOptional max, Tensor out)
static Tensor	torch.clamp(Tensor self)
static Tensor	torch.clamp(Tensor self, ScalarOptional min)
static Tensor	torch.clamp(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clamp(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_(Tensor self)
static Tensor	torch.clip_(Tensor self, ScalarOptional min)
static Tensor	torch.clip_(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clip_(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_out(Tensor out, Tensor self)
static Tensor	torch.clip_out(Tensor out, Tensor self, ScalarOptional min)
static Tensor	torch.clip_out(Tensor out, Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clip_out(Tensor out, Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_outf(Tensor self, ScalarOptional min, ScalarOptional max, Tensor out)
static Tensor	torch.clip_outf(Tensor self, TensorOptional min, TensorOptional max, Tensor out)
static Tensor	torch.clip(Tensor self)
static Tensor	torch.clip(Tensor self, ScalarOptional min)
static Tensor	torch.clip(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clip(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clone(Tensor self)
static Tensor	torch.clone(Tensor self, MemoryFormatOptional memory_format)
static Tensor	torch.col2im_backward_out(Tensor grad_input, Tensor grad_output, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.col2im_backward_outf(Tensor grad_output, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor grad_input)
static Tensor	torch.col2im_backward_outf(Tensor grad_output, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor grad_input)
static Tensor	torch.col2im_backward(Tensor grad_output, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im_backward(Tensor grad_output, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.col2im_out(Tensor out, Tensor self, long[] output_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im_out(Tensor out, Tensor self, LongArrayRef output_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.col2im_outf(Tensor self, long[] output_size, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor out)
static Tensor	torch.col2im_outf(Tensor self, LongArrayRef output_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor out)
static Tensor	torch.col2im(Tensor self, long[] output_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im(Tensor self, LongArrayRef output_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.column_stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.column_stack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.column_stack(TensorArrayRef tensors)
static Tensor	torch.combinations(Tensor self)
static Tensor	torch.combinations(Tensor self, long r, boolean with_replacement)
static Tensor	torch.complex_out(Tensor out, Tensor real, Tensor imag)
static Tensor	torch.complex_outf(Tensor real, Tensor imag, Tensor out)
static Tensor	torch.concat_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.concat_out(Tensor out, TensorArrayRef tensors, Dimname dim)
static Tensor	torch.concat_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch.concat_outf(TensorArrayRef tensors, Dimname dim, Tensor out)
static Tensor	torch.concat_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch.concat(TensorArrayRef tensors)
static Tensor	torch.concat(TensorArrayRef tensors, Dimname dim)
static Tensor	torch.concat(TensorArrayRef tensors, long dim)
static Tensor	torch.conj_physical_(Tensor self)
static Tensor	torch.conj_physical_out(Tensor out, Tensor self)
static Tensor	torch.conj_physical_outf(Tensor self, Tensor out)
static Tensor	torch.conj_physical(Tensor self)
static Tensor	torch.conj(Tensor tensor)
static Tensor	torch.constant_(Tensor tensor, Scalar value) Fills the given tensor with the provided value in-place, and returns it.
static Tensor	torch.constant_pad_nd(Tensor self, long... pad)
static Tensor	torch.constant_pad_nd(Tensor self, long[] pad, Scalar value)
static Tensor	torch.constant_pad_nd(Tensor self, LongArrayRef pad)
static Tensor	torch.constant_pad_nd(Tensor self, LongArrayRef pad, Scalar value)
static Tensor	torch.conv_depthwise3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.conv_depthwise3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.conv_tbc(Tensor self, Tensor weight, Tensor bias)
static Tensor	torch.conv_tbc(Tensor self, Tensor weight, Tensor bias, long pad)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, ConvTranspose1dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv_transpose1d /** about the exact behavior of this functional.
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, Tensor bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, Tensor bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, ConvTranspose2dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv_transpose2d /** about the exact behavior of this functional.
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, Tensor bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, Tensor bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, ConvTranspose3dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv_transpose3d /** about the exact behavior of this functional.
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, Tensor bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, Tensor bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv1d(Tensor input, Tensor weight)
static Tensor	torch.conv1d(Tensor input, Tensor weight, Conv1dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv1d /** about the exact behavior of this functional.
static Tensor	torch.conv1d(Tensor input, Tensor weight, Tensor bias, LongPointer stride, conv_padding_t1 padding, LongPointer dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight)
static Tensor	torch.conv2d(Tensor input, Tensor weight, Conv2dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv2d /** about the exact behavior of this functional.
static Tensor	torch.conv2d(Tensor input, Tensor weight, Tensor bias, LongPointer stride, conv_padding_t2 padding, LongPointer dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight)
static Tensor	torch.conv3d(Tensor input, Tensor weight, Conv3dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv3d /** about the exact behavior of this functional.
static Tensor	torch.conv3d(Tensor input, Tensor weight, Tensor bias, LongPointer stride, conv_padding_t3 padding, LongPointer dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.convolution_overrideable(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution_overrideable(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.convolution(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.copy_sparse_to_sparse_(Tensor self, Tensor src)
static Tensor	torch.copy_sparse_to_sparse_(Tensor self, Tensor src, boolean non_blocking)
static Tensor	torch.copysign_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.copysign_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.copysign_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.copysign_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.copysign(Tensor self, Scalar other)
static Tensor	torch.copysign(Tensor self, Tensor other)
static Tensor	torch.corrcoef(Tensor self)
static Tensor	torch.cos_(Tensor self)
static Tensor	torch.cos_out(Tensor out, Tensor self)
static Tensor	torch.cos_outf(Tensor self, Tensor out)
static Tensor	torch.cos(Tensor self)
static Tensor	torch.cosh_(Tensor self)
static Tensor	torch.cosh_out(Tensor out, Tensor self)
static Tensor	torch.cosh_outf(Tensor self, Tensor out)
static Tensor	torch.cosh(Tensor self)
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target)
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, CosineEmbeddingLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.cosine_embedding_loss /** about the exact behavior of this functional.
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, double margin, long reduction)
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, double margin, loss_reduction_t reduction)
static Tensor	torch.cosine_similarity(Tensor x1, Tensor x2)
static Tensor	torch.cosine_similarity(Tensor x1, Tensor x2, CosineSimilarityOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.cosine_similarity /** about the exact behavior of this functional.
static Tensor	torch.cosine_similarity(Tensor x1, Tensor x2, long dim, double eps)
static Tensor	torch.count_nonzero(Tensor self)
static Tensor	torch.count_nonzero(Tensor self, long... dim)
static Tensor	torch.count_nonzero(Tensor self, LongArrayRef dim)
static Tensor	torch.count_nonzero(Tensor self, LongOptional dim)
static Tensor	torch.cov(Tensor self)
static Tensor	torch.cov(Tensor self, long correction, TensorOptional fweights, TensorOptional aweights)
static Tensor	torch.cross_entropy_loss(Tensor self, Tensor target)
static Tensor	torch.cross_entropy_loss(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, double label_smoothing)
static Tensor	torch.cross_entropy(Tensor input, Tensor target)
static Tensor	torch.cross_entropy(Tensor input, Tensor target, CrossEntropyLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.cross_entropy /** about the exact behavior of this functional.
static Tensor	torch.cross_entropy(Tensor input, Tensor target, Tensor weight, long ignore_index, loss_reduction_t reduction, double label_smoothing)
static Tensor	torch.cross_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.cross_out(Tensor out, Tensor self, Tensor other, LongOptional dim)
static Tensor	torch.cross_outf(Tensor self, Tensor other, LongOptional dim, Tensor out)
static Tensor	torch.cross(Tensor self, Tensor other)
static Tensor	torch.cross(Tensor self, Tensor other, LongOptional dim)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long... target_lengths)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, long blank, long reduction, boolean zero_infinity)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, long blank, long reduction, boolean zero_infinity)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, CTCLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.ctc_loss /** about the exact behavior of this functional.
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, long blank, long reduction, boolean zero_infinity)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, long blank, loss_reduction_t reduction, boolean zero_infinity)
static Tensor	torch.cudnn_affine_grid_generator_backward(Tensor grad, long N, long C, long H, long W)
static Tensor	torch.cudnn_affine_grid_generator(Tensor theta, long N, long C, long H, long W)
static Tensor	torch.cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.cudnn_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.cudnn_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_grid_sampler(Tensor self, Tensor grid)
static Tensor	torch.cummaxmin_backward(Tensor grad, Tensor input, Tensor indices, long dim)
static Tensor	torch.cumprod_backward(Tensor grad, Tensor input, long dim, Tensor output)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, long dim)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumprod_outf(Tensor self, Dimname dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumprod_outf(Tensor self, long dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumprod(Tensor self, Dimname dim)
static Tensor	torch.cumprod(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumprod(Tensor self, long dim)
static Tensor	torch.cumprod(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, long dim)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum_outf(Tensor self, Dimname dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumsum_outf(Tensor self, long dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumsum(Tensor self, Dimname dim)
static Tensor	torch.cumsum(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum(Tensor self, long dim)
static Tensor	torch.cumsum(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumulative_trapezoid(Tensor y)
static Tensor	torch.cumulative_trapezoid(Tensor y, Scalar dx, long dim)
static Tensor	torch.cumulative_trapezoid(Tensor y, Tensor x)
static Tensor	torch.cumulative_trapezoid(Tensor y, Tensor x, long dim)
static Tensor	torch.deg2rad_(Tensor self)
static Tensor	torch.deg2rad_out(Tensor out, Tensor self)
static Tensor	torch.deg2rad_outf(Tensor self, Tensor out)
static Tensor	torch.deg2rad(Tensor self)
static Tensor	torch.dequantize(Tensor self)
static Tensor	torch.det(Tensor self)
static Tensor	torch.detach_(Tensor self)
static Tensor	torch.detach(Tensor self)
static Tensor	torch.diag_backward(Tensor grad, long[] input_sizes, long diagonal)
static Tensor	torch.diag_backward(Tensor grad, LongArrayRef input_sizes, long diagonal)
static Tensor	torch.diag_embed(Tensor self)
static Tensor	torch.diag_embed(Tensor self, long offset, long dim1, long dim2)
static Tensor	torch.diag_out(Tensor out, Tensor self)
static Tensor	torch.diag_out(Tensor out, Tensor self, long diagonal)
static Tensor	torch.diag_outf(Tensor self, long diagonal, Tensor out)
static Tensor	torch.diag(Tensor self)
static Tensor	torch.diag(Tensor self, long diagonal)
static Tensor	torch.diagflat(Tensor self)
static Tensor	torch.diagflat(Tensor self, long offset)
static Tensor	torch.diagonal_backward(Tensor grad_output, long[] input_sizes, long offset, long dim1, long dim2)
static Tensor	torch.diagonal_backward(Tensor grad_output, LongArrayRef input_sizes, long offset, long dim1, long dim2)
static Tensor	torch.diagonal(Tensor self)
static Tensor	torch.diagonal(Tensor self, Dimname outdim, Dimname dim1, Dimname dim2)
static Tensor	torch.diagonal(Tensor self, Dimname outdim, Dimname dim1, Dimname dim2, long offset)
static Tensor	torch.diagonal(Tensor self, long offset, long dim1, long dim2)
static Tensor	torch.diff_out(Tensor out, Tensor self)
static Tensor	torch.diff_out(Tensor out, Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append)
static Tensor	torch.diff_outf(Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append, Tensor out)
static Tensor	torch.diff(Tensor self)
static Tensor	torch.diff(Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append)
static Tensor	torch.digamma_out(Tensor out, Tensor self)
static Tensor	torch.digamma_outf(Tensor self, Tensor out)
static Tensor	torch.digamma(Tensor self)
static Tensor	torch.dirac_(Tensor tensor) Fills the given tensor with the Dirac delta function in-place, and returns it.
static Tensor	torch.dispatch_index_put_(Tensor self, TensorVector indices, Tensor value)
static Tensor	torch.dispatch_index(Tensor self, TensorVector indices)
static Tensor	torch.dist(Tensor self, Tensor other)
static Tensor	torch.dist(Tensor self, Tensor other, Scalar p)
static Tensor	torch.div_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.div_out(Tensor out, Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.div_outf(Tensor self, Tensor other, Pointer rounding_mode, Tensor out)
static Tensor	torch.div_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.div(Tensor self, Scalar other)
static Tensor	torch.div(Tensor self, Scalar other, Pointer rounding_mode)
static Tensor	torch.div(Tensor self, Tensor other)
static Tensor	torch.div(Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.divide_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.divide_out(Tensor out, Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.divide_outf(Tensor self, Tensor other, Pointer rounding_mode, Tensor out)
static Tensor	torch.divide_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.divide(Scalar x, Tensor y)
static Tensor	torch.divide(Tensor self, Scalar other)
static Tensor	torch.divide(Tensor self, Scalar other, Pointer rounding_mode)
static Tensor	torch.divide(Tensor self, Tensor other)
static Tensor	torch.divide(Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.dot_out(Tensor out, Tensor self, Tensor tensor)
static Tensor	torch.dot_outf(Tensor self, Tensor tensor, Tensor out)
static Tensor	torch.dot(Tensor self, Tensor tensor)
static Tensor	torch.dropout_(Tensor self, double p, boolean train)
static Tensor	torch.dropout(Tensor input)
static Tensor	torch.dropout(Tensor input, double p, boolean train)
static Tensor	torch.dropout(Tensor input, double p, boolean training, boolean inplace) Computes the p-norm distance between every pair of row vectors in the input.
static Tensor	torch.dropout(Tensor input, DropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.dropout /** about the exact behavior of this functional.
static Tensor	torch.dropout2d(Tensor input)
static Tensor	torch.dropout2d(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.dropout2d(Tensor input, DropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.dropout2d /** about the exact behavior of this functional.
static Tensor	torch.dropout3d(Tensor input)
static Tensor	torch.dropout3d(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.dropout3d(Tensor input, DropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.dropout3d /** about the exact behavior of this functional.
static Tensor	torch.dstack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.dstack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.dstack(TensorArrayRef tensors)
static Tensor	torch.einsum(Pointer equation, TensorArrayRef tensors)
static Tensor	torch.elu_(Tensor self)
static Tensor	torch.elu_(Tensor self, Scalar alpha, Scalar scale, Scalar input_scale)
static Tensor	torch.elu_backward_out(Tensor grad_input, Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, boolean is_result, Tensor self_or_result)
static Tensor	torch.elu_backward_outf(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, boolean is_result, Tensor self_or_result, Tensor grad_input)
static Tensor	torch.elu_backward(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, boolean is_result, Tensor self_or_result)
static Tensor	torch.elu_out(Tensor out, Tensor self)
static Tensor	torch.elu_out(Tensor out, Tensor self, Scalar alpha, Scalar scale, Scalar input_scale)
static Tensor	torch.elu_outf(Tensor self, Scalar alpha, Scalar scale, Scalar input_scale, Tensor out)
static Tensor	torch.elu(Tensor self)
static Tensor	torch.elu(Tensor input, double alpha, boolean inplace) Options for the InstanceNorm3d module.
static Tensor	torch.elu(Tensor input, ELUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.elu /** about the exact behavior of this functional.
static Tensor	torch.elu(Tensor self, Scalar alpha, Scalar scale, Scalar input_scale)
static Tensor	torch.embedding_backward(Tensor grad, Tensor indices, long num_weights, long padding_idx, boolean scale_grad_by_freq, boolean sparse)
static Tensor	torch.embedding_bag(Tensor input, Tensor weight)
static Tensor	torch.embedding_bag(Tensor input, Tensor weight, EmbeddingBagFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.embedding_bag /** about the exact behavior of this functional.
static Tensor	torch.embedding_bag(Tensor input, Tensor weight, Tensor offsets, DoubleOptional max_norm, double norm_type, boolean scale_grad_by_freq, EmbeddingBagMode mode, boolean sparse, Tensor per_sample_weights, boolean include_last_offset, LongOptional padding_idx)
static Tensor	torch.embedding_dense_backward(Tensor grad_output, Tensor indices, long num_weights, long padding_idx, boolean scale_grad_by_freq)
static Tensor	torch.embedding_renorm_(Tensor self, Tensor indices, double max_norm, double norm_type)
static Tensor	torch.embedding_sparse_backward(Tensor grad, Tensor indices, long num_weights, long padding_idx, boolean scale_grad_by_freq)
static Tensor	torch.embedding(Tensor weight, Tensor indices)
static Tensor	torch.embedding(Tensor input, Tensor weight, EmbeddingFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.embedding /** about the exact behavior of this functional.
static Tensor	torch.embedding(Tensor weight, Tensor indices, long padding_idx, boolean scale_grad_by_freq, boolean sparse)
static Tensor	torch.embedding(Tensor input, Tensor weight, LongOptional padding_idx, DoubleOptional max_norm, double norm_type, boolean scale_grad_by_freq, boolean sparse)
static Tensor	torch.empty_cpu(long[] size, ScalarTypeOptional dtype_opt, LayoutOptional layout_opt, DeviceOptional device_opt, BoolOptional pin_memory_opt, MemoryFormatOptional memory_format_opt)
static Tensor	torch.empty_cpu(LongArrayRef size, ScalarTypeOptional dtype_opt, LayoutOptional layout_opt, DeviceOptional device_opt, BoolOptional pin_memory_opt, MemoryFormatOptional memory_format_opt)
static Tensor	torch.empty_generic(long[] size, Allocator allocator, byte dispatch_key, torch.ScalarType dtype, Device device, MemoryFormatOptional memory_format)
static Tensor	torch.empty_generic(LongArrayRef size, Allocator allocator, torch.DispatchKey dispatch_key, torch.ScalarType dtype, Device device, MemoryFormatOptional memory_format)
static Tensor	torch.empty_like(Tensor self)
static Tensor	torch.empty_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty_out(Tensor out, long... size)
static Tensor	torch.empty_out(Tensor out, long[] size, MemoryFormatOptional memory_format)
static Tensor	torch.empty_out(Tensor out, LongArrayRef size)
static Tensor	torch.empty_out(Tensor out, LongArrayRef size, MemoryFormatOptional memory_format)
static Tensor	torch.empty_outf(long[] size, MemoryFormatOptional memory_format, Tensor out)
static Tensor	torch.empty_outf(LongArrayRef size, MemoryFormatOptional memory_format, Tensor out)
static Tensor	torch.empty_quantized(long[] size, Tensor qtensor)
static Tensor	torch.empty_quantized(long[] size, Tensor qtensor, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty_quantized(long[] size, Tensor qtensor, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty_quantized(LongArrayRef size, Tensor qtensor)
static Tensor	torch.empty_quantized(LongArrayRef size, Tensor qtensor, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty_quantized(LongArrayRef size, Tensor qtensor, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty_strided(long[] size, long... stride)
static Tensor	torch.empty_strided(long[] size, long[] stride, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.empty_strided(long[] size, long[] stride, TensorOptions options)
static Tensor	torch.empty_strided(LongArrayRef size, LongArrayRef stride)
static Tensor	torch.empty_strided(LongArrayRef size, LongArrayRef stride, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.empty_strided(LongArrayRef size, LongArrayRef stride, TensorOptions options)
static Tensor	torch.empty(long... size)
static Tensor	torch.empty(long[] size, DimnameListOptional names)
static Tensor	torch.empty(long[] size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty(long[] size, DimnameListOptional names, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty(long[] size, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty(LongArrayRef size)
static Tensor	torch.empty(LongArrayRef size, DimnameListOptional names)
static Tensor	torch.empty(LongArrayRef size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty(LongArrayRef size, DimnameListOptional names, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty(LongArrayRef size, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.eq_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.eq_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.eq_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.eq_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.eq(Tensor self, Scalar other)
static Tensor	torch.eq(Tensor self, Tensor other)
static Tensor	torch.equals(Scalar x, Tensor y)
static Tensor	torch.equals(Tensor x, Scalar y)
static Tensor	torch.equals(Tensor x, Tensor y)
static Tensor	torch.erf_(Tensor self)
static Tensor	torch.erf_out(Tensor out, Tensor self)
static Tensor	torch.erf_outf(Tensor self, Tensor out)
static Tensor	torch.erf(Tensor self)
static Tensor	torch.erfc_(Tensor self)
static Tensor	torch.erfc_out(Tensor out, Tensor self)
static Tensor	torch.erfc_outf(Tensor self, Tensor out)
static Tensor	torch.erfc(Tensor self)
static Tensor	torch.erfinv_out(Tensor out, Tensor self)
static Tensor	torch.erfinv_outf(Tensor self, Tensor out)
static Tensor	torch.erfinv(Tensor self)
static Tensor	torch.exp_(Tensor self)
static Tensor	torch.exp_out(Tensor out, Tensor self)
static Tensor	torch.exp_outf(Tensor self, Tensor out)
static Tensor	torch.exp(Tensor self)
static Tensor	torch.exp2_(Tensor self)
static Tensor	torch.exp2_out(Tensor out, Tensor self)
static Tensor	torch.exp2_outf(Tensor self, Tensor out)
static Tensor	torch.exp2(Tensor self)
static Tensor	torch.expm1_(Tensor self)
static Tensor	torch.expm1_out(Tensor out, Tensor self)
static Tensor	torch.expm1_outf(Tensor self, Tensor out)
static Tensor	torch.expm1(Tensor self)
static Tensor	torch.eye_(Tensor matrix) Fills the given 2-dimensional matrix with an identity matrix.
static Tensor	torch.eye_out(Tensor out, long n)
static Tensor	torch.eye_out(Tensor out, long n, long m)
static Tensor	torch.eye_outf(long n, long m, Tensor out)
static Tensor	torch.eye_outf(long n, Tensor out)
static Tensor	torch.eye(long n)
static Tensor	torch.eye(long n, long m)
static Tensor	torch.eye(long n, long m, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.eye(long n, long m, TensorOptions options)
static Tensor	torch.eye(long n, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.eye(long n, TensorOptions options)
static Tensor	torch.fake_quantize_per_channel_affine_cachemask_backward(Tensor grad, Tensor mask)
static Tensor	torch.fake_quantize_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max)
static Tensor	torch.fake_quantize_per_tensor_affine_cachemask_backward(Tensor grad, Tensor mask)
static Tensor	torch.fake_quantize_per_tensor_affine(Tensor self, double scale, long zero_point, long quant_min, long quant_max)
static Tensor	torch.fake_quantize_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max)
static Tensor	torch.fbgemm_linear_fp16_weight_fp32_activation(Tensor input, Tensor packed_weight, Tensor bias)
static Tensor	torch.fbgemm_linear_fp16_weight(Tensor input, Tensor packed_weight, Tensor bias)
static Tensor	torch.fbgemm_linear_int8_weight_fp32_activation(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias)
static Tensor	torch.fbgemm_linear_int8_weight(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias)
static Tensor	torch.fbgemm_pack_gemm_matrix_fp16(Tensor input)
static Tensor	torch.fbgemm_pack_quantized_matrix(Tensor input)
static Tensor	torch.fbgemm_pack_quantized_matrix(Tensor input, long K, long N)
static Tensor	torch.feature_alpha_dropout_(Tensor self, double p, boolean train)
static Tensor	torch.feature_alpha_dropout(Tensor input)
static Tensor	torch.feature_alpha_dropout(Tensor input, double p, boolean train)
static Tensor	torch.feature_alpha_dropout(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.feature_alpha_dropout(Tensor input, FeatureAlphaDropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.feature_alpha_dropout /** about the exact behavior of this functional.
static Tensor	torch.feature_dropout_(Tensor self, double p, boolean train)
static Tensor	torch.feature_dropout(Tensor input, double p, boolean train)
static Tensor	torch.fft_fft_out(Tensor out, Tensor self)
static Tensor	torch.fft_fft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_fft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fft(Tensor self)
static Tensor	torch.fft_fft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_fft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_fft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_fft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_fft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fft2(Tensor self)
static Tensor	torch.fft_fft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_fft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_fftfreq_out(Tensor out, long n)
static Tensor	torch.fft_fftfreq_out(Tensor out, long n, double d)
static Tensor	torch.fft_fftfreq_outf(long n, double d, Tensor out)
static Tensor	torch.fft_fftfreq(long n)
static Tensor	torch.fft_fftfreq(long n, double d, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.fft_fftfreq(long n, double d, TensorOptions options)
static Tensor	torch.fft_fftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_fftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_fftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fftn(Tensor self)
static Tensor	torch.fft_fftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_fftshift(Tensor self)
static Tensor	torch.fft_fftshift(Tensor self, LongArrayRefOptional dim)
static Tensor	torch.fft_hfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_hfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_hfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_hfft(Tensor self)
static Tensor	torch.fft_hfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ifft_out(Tensor out, Tensor self)
static Tensor	torch.fft_ifft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ifft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifft(Tensor self)
static Tensor	torch.fft_ifft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ifft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_ifft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_ifft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_ifft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifft2(Tensor self)
static Tensor	torch.fft_ifft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_ifft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_ifftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_ifftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_ifftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifftn(Tensor self)
static Tensor	torch.fft_ifftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_ifftshift(Tensor self)
static Tensor	torch.fft_ifftshift(Tensor self, LongArrayRefOptional dim)
static Tensor	torch.fft_ihfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_ihfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ihfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ihfft(Tensor self)
static Tensor	torch.fft_ihfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_irfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_irfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_irfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfft(Tensor self)
static Tensor	torch.fft_irfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_irfft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_irfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_irfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_irfft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfft2(Tensor self)
static Tensor	torch.fft_irfft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_irfft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_irfftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_irfftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_irfftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfftn(Tensor self)
static Tensor	torch.fft_irfftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_rfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_rfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_rfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfft(Tensor self)
static Tensor	torch.fft_rfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_rfft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_rfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_rfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_rfft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfft2(Tensor self)
static Tensor	torch.fft_rfft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_rfft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_rfftfreq_out(Tensor out, long n)
static Tensor	torch.fft_rfftfreq_out(Tensor out, long n, double d)
static Tensor	torch.fft_rfftfreq_outf(long n, double d, Tensor out)
static Tensor	torch.fft_rfftfreq(long n)
static Tensor	torch.fft_rfftfreq(long n, double d, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.fft_rfftfreq(long n, double d, TensorOptions options)
static Tensor	torch.fft_rfftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_rfftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_rfftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfftn(Tensor self)
static Tensor	torch.fft_rfftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fill_(Tensor self, Scalar value)
static Tensor	torch.fill_(Tensor self, Tensor value)
static Tensor	torch.fix_(Tensor self)
static Tensor	torch.fix_out(Tensor out, Tensor self)
static Tensor	torch.fix_outf(Tensor self, Tensor out)
static Tensor	torch.fix(Tensor self)
static Tensor	torch.flatten_dense_tensors(TensorArrayRef tensors)
static Tensor	torch.flatten(Tensor self)
static Tensor	torch.flatten(Tensor self, DimnameArrayRef dims, Dimname out_dim)
static Tensor	torch.flatten(Tensor self, Dimname start_dim, Dimname end_dim, Dimname out_dim)
static Tensor	torch.flatten(Tensor self, long start_dim, long end_dim)
static Tensor	torch.flatten(Tensor self, long start_dim, long end_dim, Dimname out_dim)
static Tensor	torch.flip(Tensor self, long... dims)
static Tensor	torch.flip(Tensor self, LongArrayRef dims)
static Tensor	torch.fliplr(Tensor self)
static Tensor	torch.flipud(Tensor self)
static Tensor	torch.float_power_out(Tensor out, Scalar self, Tensor exponent)
static Tensor	torch.float_power_out(Tensor out, Tensor self, Scalar exponent)
static Tensor	torch.float_power_out(Tensor out, Tensor self, Tensor exponent)
static Tensor	torch.float_power_outf(Scalar self, Tensor exponent, Tensor out)
static Tensor	torch.float_power_outf(Tensor self, Scalar exponent, Tensor out)
static Tensor	torch.float_power_outf(Tensor self, Tensor exponent, Tensor out)
static Tensor	torch.float_power(Scalar self, Tensor exponent)
static Tensor	torch.float_power(Tensor self, Scalar exponent)
static Tensor	torch.float_power(Tensor self, Tensor exponent)
static Tensor	torch.floor_(Tensor self)
static Tensor	torch.floor_divide_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.floor_divide_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.floor_divide(Tensor self, Scalar other)
static Tensor	torch.floor_divide(Tensor self, Tensor other)
static Tensor	torch.floor_out(Tensor out, Tensor self)
static Tensor	torch.floor_outf(Tensor self, Tensor out)
static Tensor	torch.floor(Tensor self)
static Tensor	torch.fmax_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.fmax_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.fmax(Tensor self, Tensor other)
static Tensor	torch.fmin_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.fmin_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.fmin(Tensor self, Tensor other)
static Tensor	torch.fmod_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.fmod_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.fmod_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.fmod_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.fmod(Tensor self, Scalar other)
static Tensor	torch.fmod(Tensor self, Tensor other)
static Tensor	torch.fold(Tensor input, FoldOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.fold /** about the exact behavior of this functional.
static Tensor	torch.fold(Tensor input, LongPointer output_size, LongPointer kernel_size, LongPointer dilation, LongPointer padding, LongPointer stride)
static Tensor	torch.frac_(Tensor self)
static Tensor	torch.frac_out(Tensor out, Tensor self)
static Tensor	torch.frac_outf(Tensor self, Tensor out)
static Tensor	torch.frac(Tensor self)
static Tensor	torch.fractional_max_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static Tensor	torch.fractional_max_pool2d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool2d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool2d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static Tensor	torch.fractional_max_pool2d(Tensor input, FractionalMaxPool2dOptions options) See the documentation for torch::nn::functional::FractionalMaxPool2dFuncOptions class to learn what /** optional arguments are supported for this functional.
static Tensor	torch.fractional_max_pool2d(Tensor input, LongPointer kernel_size, LongExpandingArrayOptional output_size, DoubleExpandingArrayOptional output_ratio, Tensor _random_samples)
static Tensor	torch.fractional_max_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static Tensor	torch.fractional_max_pool3d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool3d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool3d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static Tensor	torch.fractional_max_pool3d(Tensor input, FractionalMaxPool3dOptions options) See the documentation for torch::nn::functional::FractionalMaxPool3dFuncOptions class to learn what /** optional arguments are supported for this functional.
static Tensor	torch.fractional_max_pool3d(Tensor input, LongPointer kernel_size, LongExpandingArrayOptional output_size, DoubleExpandingArrayOptional output_ratio, Tensor _random_samples)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.frobenius_norm_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.frobenius_norm_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.frobenius_norm(Tensor self)
static Tensor	torch.frobenius_norm(Tensor self, long... dim)
static Tensor	torch.frobenius_norm(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.frobenius_norm(Tensor self, LongArrayRef dim)
static Tensor	torch.frobenius_norm(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.from_blob(Pointer data, long... sizes)
static Tensor	torch.from_blob(Pointer data, long[] sizes, long... strides)
static Tensor	torch.from_blob(Pointer data, long[] sizes, long[] strides, TensorOptions options)
static Tensor	torch.from_blob(Pointer data, long[] sizes, long[] strides, torch.Deleter deleter)
static Tensor	torch.from_blob(Pointer data, long[] sizes, long[] strides, torch.Deleter deleter, TensorOptions options)
static Tensor	torch.from_blob(Pointer data, long[] sizes, long[] strides, torch.Deleter deleter, TensorOptions options, DeviceOptional target_device)
static Tensor	torch.from_blob(Pointer data, long[] sizes, TensorOptions options)
static Tensor	torch.from_blob(Pointer data, long[] sizes, torch.Deleter deleter)
static Tensor	torch.from_blob(Pointer data, long[] sizes, torch.Deleter deleter, TensorOptions options)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, LongArrayRef strides)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, LongArrayRef strides, TensorOptions options)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, LongArrayRef strides, torch.Deleter deleter)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, LongArrayRef strides, torch.Deleter deleter, TensorOptions options) Exposes the given data as a Tensor without taking ownership of the original data.
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, LongArrayRef strides, torch.Deleter deleter, TensorOptions options, DeviceOptional target_device)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, TensorOptions options)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, torch.Deleter deleter)
static Tensor	torch.from_blob(Pointer data, LongArrayRef sizes, torch.Deleter deleter, TensorOptions options)
static Tensor	torch.from_file(Pointer filename)
static Tensor	torch.from_file(Pointer filename, BoolOptional shared, LongOptional size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.from_file(Pointer filename, BoolOptional shared, LongOptional size, TensorOptions options)
static Tensor	torch.full_like(Tensor self, Scalar fill_value)
static Tensor	torch.full_like(Tensor self, Scalar fill_value, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.full_like(Tensor self, Scalar fill_value, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.full_out(Tensor out, long[] size, Scalar fill_value)
static Tensor	torch.full_out(Tensor out, LongArrayRef size, Scalar fill_value)
static Tensor	torch.full_outf(long[] size, Scalar fill_value, Tensor out)
static Tensor	torch.full_outf(LongArrayRef size, Scalar fill_value, Tensor out)
static Tensor	torch.full(long[] size, Scalar fill_value)
static Tensor	torch.full(long[] size, Scalar fill_value, DimnameListOptional names)
static Tensor	torch.full(long[] size, Scalar fill_value, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.full(long[] size, Scalar fill_value, DimnameListOptional names, TensorOptions options)
static Tensor	torch.full(long[] size, Scalar fill_value, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.full(long[] size, Scalar fill_value, TensorOptions options)
static Tensor	torch.full(LongArrayRef size, Scalar fill_value)
static Tensor	torch.full(LongArrayRef size, Scalar fill_value, DimnameListOptional names)
static Tensor	torch.full(LongArrayRef size, Scalar fill_value, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.full(LongArrayRef size, Scalar fill_value, DimnameListOptional names, TensorOptions options)
static Tensor	torch.full(LongArrayRef size, Scalar fill_value, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.full(LongArrayRef size, Scalar fill_value, TensorOptions options)
static Tensor	torch.fused_moving_avg_obs_fake_quant(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor running_min, Tensor running_max, Tensor scale, Tensor zero_point, double averaging_const, long quant_min, long quant_max, long ch_axis)
static Tensor	torch.fused_moving_avg_obs_fake_quant(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor running_min, Tensor running_max, Tensor scale, Tensor zero_point, double averaging_const, long quant_min, long quant_max, long ch_axis, boolean per_row_fake_quant, boolean symmetric_quant)
static Tensor	torch.gather_backward(Tensor grad, Tensor self, long dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather_out(Tensor out, Tensor self, Dimname dim, Tensor index)
static Tensor	torch.gather_out(Tensor out, Tensor self, Dimname dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather_out(Tensor out, Tensor self, long dim, Tensor index)
static Tensor	torch.gather_out(Tensor out, Tensor self, long dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather_outf(Tensor self, Dimname dim, Tensor index, boolean sparse_grad, Tensor out)
static Tensor	torch.gather_outf(Tensor self, long dim, Tensor index, boolean sparse_grad, Tensor out)
static Tensor	torch.gather(Tensor self, Dimname dim, Tensor index)
static Tensor	torch.gather(Tensor self, Dimname dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather(Tensor self, long dim, Tensor index)
static Tensor	torch.gather(Tensor self, long dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gcd_(Tensor self, Tensor other)
static Tensor	torch.gcd_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.gcd_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.gcd(Tensor self, Tensor other)
static Tensor	torch.ge_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.ge_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.ge_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.ge_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.ge(Tensor self, Scalar other)
static Tensor	torch.ge(Tensor self, Tensor other)
static Tensor	torch.gelu_backward_out(Tensor grad_input, Tensor grad, Tensor self)
static Tensor	torch.gelu_backward_outf(Tensor grad, Tensor self, Tensor grad_input)
static Tensor	torch.gelu_backward(Tensor grad, Tensor self)
static Tensor	torch.gelu_out(Tensor out, Tensor self)
static Tensor	torch.gelu_outf(Tensor self, Tensor out)
static Tensor	torch.gelu(Tensor self)
static Tensor	torch.ger_out(Tensor out, Tensor self, Tensor vec2)
static Tensor	torch.ger_outf(Tensor self, Tensor vec2, Tensor out)
static Tensor	torch.ger(Tensor self, Tensor vec2)
static Tensor	torch.get_item(Tensor self, TensorIndexArrayRef indices)
static Tensor	torch.get_item(Tensor self, TensorIndexArrayRef indices, boolean disable_slice_optimization)
static Tensor	torch.getSizeOf(Tensor var, long dim)
static Tensor	torch.glu_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long dim)
static Tensor	torch.glu_backward_outf(Tensor grad_output, Tensor self, long dim, Tensor grad_input)
static Tensor	torch.glu_backward(Tensor grad_output, Tensor self, long dim)
static Tensor	torch.glu_out(Tensor out, Tensor self)
static Tensor	torch.glu_out(Tensor out, Tensor self, long dim)
static Tensor	torch.glu_outf(Tensor self, long dim, Tensor out)
static Tensor	torch.glu(Tensor self)
static Tensor	torch.glu(Tensor input, GLUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.glu /** about the exact behavior of this functional.
static Tensor	torch.glu(Tensor self, long dim)
static Tensor	torch.greater_equal_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.greater_equal_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.greater_equal_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.greater_equal_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.greater_equal(Tensor self, Scalar other)
static Tensor	torch.greater_equal(Tensor self, Tensor other)
static Tensor	torch.greater_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.greater_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.greater_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.greater_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.greater(Tensor self, Scalar other)
static Tensor	torch.greater(Tensor self, Tensor other)
static Tensor	torch.greaterThan(Scalar x, Tensor y)
static Tensor	torch.greaterThan(Tensor x, Scalar y)
static Tensor	torch.greaterThan(Tensor x, Tensor y)
static Tensor	torch.greaterThanEquals(Scalar x, Tensor y)
static Tensor	torch.greaterThanEquals(Tensor x, Scalar y)
static Tensor	torch.greaterThanEquals(Tensor x, Tensor y)
static Tensor	torch.grid_sample(Tensor input, Tensor grid)
static Tensor	torch.grid_sample(Tensor input, Tensor grid, grid_sample_mode_t mode, grid_sample_padding_mode_t padding_mode, BoolOptional align_corners)
static Tensor	torch.grid_sample(Tensor input, Tensor grid, GridSampleFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.grid_sample /** about the exact behavior of this functional.
static Tensor	torch.grid_sampler_2d(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch.grid_sampler_3d(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch.grid_sampler(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch.group_norm(Tensor input, GroupNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.group_norm /** about the exact behavior of this functional.
static Tensor	torch.group_norm(Tensor input, long num_groups)
static Tensor	torch.group_norm(Tensor input, long num_groups, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enabled)
static Tensor	torch.group_norm(Tensor input, long num_groups, Tensor weight, Tensor bias, double eps)
static Tensor	torch.gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh)
static Tensor	torch.gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static Tensor	torch.gt_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.gt_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.gt_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.gt_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.gt(Tensor self, Scalar other)
static Tensor	torch.gt(Tensor self, Tensor other)
static Tensor	torch.gumbel_softmax(Tensor logits)
static Tensor	torch.gumbel_softmax(Tensor logits, double tau, boolean hard, int dim)
static Tensor	torch.gumbel_softmax(Tensor logits, GumbelSoftmaxFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.gumbel_softmax /** about the exact behavior of this functional.
static Tensor	torch.hamming_window(long window_length)
static Tensor	torch.hamming_window(long window_length, boolean periodic)
static Tensor	torch.hamming_window(long window_length, boolean periodic, double alpha)
static Tensor	torch.hamming_window(long window_length, boolean periodic, double alpha, double beta)
static Tensor	torch.hamming_window(long window_length, boolean periodic, double alpha, double beta, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.hamming_window(long window_length, boolean periodic, double alpha, double beta, TensorOptions options)
static Tensor	torch.hamming_window(long window_length, boolean periodic, double alpha, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.hamming_window(long window_length, boolean periodic, double alpha, TensorOptions options)
static Tensor	torch.hamming_window(long window_length, boolean periodic, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.hamming_window(long window_length, boolean periodic, TensorOptions options)
static Tensor	torch.hamming_window(long window_length, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.hamming_window(long window_length, TensorOptions options)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, long[] dim_ptr, long[] specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, long... prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, long[] dim_ptr, long[] specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, LongArrayRef prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongBuffer dim_ptr, LongBuffer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, long... prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongBuffer dim_ptr, LongBuffer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, LongArrayRef prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongPointer dim_ptr, LongPointer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, long... prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongPointer dim_ptr, LongPointer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, LongArrayRef prev_dim_result_sizes)
static Tensor	torch.hann_window(long window_length)
static Tensor	torch.hann_window(long window_length, boolean periodic)
static Tensor	torch.hann_window(long window_length, boolean periodic, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.hann_window(long window_length, boolean periodic, TensorOptions options)
static Tensor	torch.hann_window(long window_length, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.hann_window(long window_length, TensorOptions options)
static Tensor	torch.hardshrink_backward_out(Tensor grad_input, Tensor grad_out, Tensor self, Scalar lambd)
static Tensor	torch.hardshrink_backward_outf(Tensor grad_out, Tensor self, Scalar lambd, Tensor grad_input)
static Tensor	torch.hardshrink_backward(Tensor grad_out, Tensor self, Scalar lambd)
static Tensor	torch.hardshrink_out(Tensor out, Tensor self)
static Tensor	torch.hardshrink_out(Tensor out, Tensor self, Scalar lambd)
static Tensor	torch.hardshrink_outf(Tensor self, Scalar lambd, Tensor out)
static Tensor	torch.hardshrink(Tensor self)
static Tensor	torch.hardshrink(Tensor input, double lambda)
static Tensor	torch.hardshrink(Tensor input, HardshrinkOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.hardshrink /** about the exact behavior of this functional.
static Tensor	torch.hardshrink(Tensor self, Scalar lambd)
static Tensor	torch.hardsigmoid_(Tensor self)
static Tensor	torch.hardsigmoid_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.hardsigmoid_backward_outf(Tensor grad_output, Tensor self, Tensor grad_input)
static Tensor	torch.hardsigmoid_backward(Tensor grad_output, Tensor self)
static Tensor	torch.hardsigmoid_out(Tensor out, Tensor self)
static Tensor	torch.hardsigmoid_outf(Tensor self, Tensor out)
static Tensor	torch.hardsigmoid(Tensor self)
static Tensor	torch.hardswish_(Tensor self)
static Tensor	torch.hardswish_backward(Tensor grad_output, Tensor self)
static Tensor	torch.hardswish_out(Tensor out, Tensor self)
static Tensor	torch.hardswish_outf(Tensor self, Tensor out)
static Tensor	torch.hardswish(Tensor self)
static Tensor	torch.hardtanh_(Tensor self)
static Tensor	torch.hardtanh_(Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_backward_outf(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val, Tensor grad_input)
static Tensor	torch.hardtanh_backward(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_out(Tensor out, Tensor self)
static Tensor	torch.hardtanh_out(Tensor out, Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_outf(Tensor self, Scalar min_val, Scalar max_val, Tensor out)
static Tensor	torch.hardtanh(Tensor self)
static Tensor	torch.hardtanh(Tensor input, double min_val, double max_val, boolean inplace)
static Tensor	torch.hardtanh(Tensor input, HardtanhOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.hardtanh /** about the exact behavior of this functional.
static Tensor	torch.hardtanh(Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.heaviside_out(Tensor out, Tensor self, Tensor values)
static Tensor	torch.heaviside_outf(Tensor self, Tensor values, Tensor out)
static Tensor	torch.heaviside(Tensor self, Tensor values)
static Tensor	torch.hinge_embedding_loss(Tensor self, Tensor target)
static Tensor	torch.hinge_embedding_loss(Tensor self, Tensor target, double margin, long reduction)
static Tensor	torch.hinge_embedding_loss(Tensor input, Tensor target, double margin, loss_reduction_t reduction)
static Tensor	torch.hinge_embedding_loss(Tensor input, Tensor target, HingeEmbeddingLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.hinge_embedding_loss /** about the exact behavior of this functional.
static Tensor	torch.histc_out(Tensor out, Tensor self)
static Tensor	torch.histc_out(Tensor out, Tensor self, long bins, Scalar min, Scalar max)
static Tensor	torch.histc_outf(Tensor self, long bins, Scalar min, Scalar max, Tensor out)
static Tensor	torch.histc(Tensor self)
static Tensor	torch.histc(Tensor self, long bins, Scalar min, Scalar max)
static Tensor	torch.hspmm_out(Tensor out, Tensor mat1, Tensor mat2)
static Tensor	torch.hspmm_outf(Tensor mat1, Tensor mat2, Tensor out)
static Tensor	torch.hspmm(Tensor mat1, Tensor mat2)
static Tensor	torch.hstack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.hstack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.hstack(TensorArrayRef tensors)
static Tensor	torch.huber_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, double delta, Tensor grad_input)
static Tensor	torch.huber_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.huber_loss_out(Tensor out, Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss_outf(Tensor self, Tensor target, long reduction, double delta, Tensor out)
static Tensor	torch.huber_loss(Tensor self, Tensor target)
static Tensor	torch.huber_loss(Tensor input, Tensor target, HuberLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.huber_loss /** about the exact behavior of this functional.
static Tensor	torch.huber_loss(Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.huber_loss(Tensor input, Tensor target, loss_reduction_t reduction, double delta)
static Tensor	torch.hypot_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.hypot_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.hypot(Tensor self, Tensor other)
static Tensor	torch.i0_(Tensor self)
static Tensor	torch.i0_out(Tensor out, Tensor self)
static Tensor	torch.i0_outf(Tensor self, Tensor out)
static Tensor	torch.i0(Tensor self)
static Tensor	torch.igamma_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.igamma_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.igamma(Tensor self, Tensor other)
static Tensor	torch.igammac_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.igammac_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.igammac(Tensor self, Tensor other)
static Tensor	torch.im2col_backward_out(Tensor grad_input, Tensor grad_output, long[] input_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef input_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.im2col_backward_outf(Tensor grad_output, long[] input_size, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor grad_input)
static Tensor	torch.im2col_backward_outf(Tensor grad_output, LongArrayRef input_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor grad_input)
static Tensor	torch.im2col_backward(Tensor grad_output, long[] input_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col_backward(Tensor grad_output, LongArrayRef input_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.im2col_out(Tensor out, Tensor self, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col_out(Tensor out, Tensor self, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.im2col_outf(Tensor self, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor out)
static Tensor	torch.im2col_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor out)
static Tensor	torch.im2col(Tensor self, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col(Tensor self, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.imag(Tensor self)
static Tensor	torch.index_add(Tensor self, Dimname dim, Tensor index, Tensor source)
static Tensor	torch.index_add(Tensor self, Dimname dim, Tensor index, Tensor source, Scalar alpha)
static Tensor	torch.index_add(Tensor self, long dim, Tensor index, Tensor source)
static Tensor	torch.index_add(Tensor self, long dim, Tensor index, Tensor source, Scalar alpha)
static Tensor	torch.index_copy(Tensor self, Dimname dim, Tensor index, Tensor source)
static Tensor	torch.index_copy(Tensor self, long dim, Tensor index, Tensor source)
static Tensor	torch.index_fill(Tensor self, Dimname dim, Tensor index, Scalar value)
static Tensor	torch.index_fill(Tensor self, Dimname dim, Tensor index, Tensor value)
static Tensor	torch.index_fill(Tensor self, long dim, Tensor index, Scalar value)
static Tensor	torch.index_fill(Tensor self, long dim, Tensor index, Tensor value)
static Tensor	torch.index_select_backward(Tensor grad, long[] self_sizes, long dim, Tensor index)
static Tensor	torch.index_select_backward(Tensor grad, LongArrayRef self_sizes, long dim, Tensor index)
static Tensor	torch.index_select_out(Tensor out, Tensor self, Dimname dim, Tensor index)
static Tensor	torch.index_select_out(Tensor out, Tensor self, long dim, Tensor index)
static Tensor	torch.index_select_outf(Tensor self, Dimname dim, Tensor index, Tensor out)
static Tensor	torch.index_select_outf(Tensor self, long dim, Tensor index, Tensor out)
static Tensor	torch.index_select(Tensor self, Dimname dim, Tensor index)
static Tensor	torch.index_select(Tensor self, long dim, Tensor index)
static Tensor	torch.infinitely_differentiable_gelu_backward(Tensor grad, Tensor self)
static Tensor	torch.inner_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.inner_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.inner(Tensor self, Tensor other)
static Tensor	torch.instance_norm(Tensor input)
static Tensor	torch.instance_norm(Tensor input, InstanceNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.instance_norm /** about the exact behavior of this functional.
static Tensor	torch.instance_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean use_input_stats, double momentum, double eps, boolean cudnn_enabled)
static Tensor	torch.instance_norm(Tensor input, Tensor running_mean, Tensor running_var, Tensor weight, Tensor bias, boolean use_input_stats, double momentum, double eps)
static Tensor	torch.int_repr(Tensor self)
static Tensor	torch.interpolate(Tensor input)
static Tensor	torch.interpolate(Tensor input, InterpolateFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.interpolate /** about the exact behavior of this functional.
static Tensor	torch.interpolate(Tensor input, LongVectorOptional size, DoubleVectorOptional scale_factor, interpolate_mode_t mode, BoolOptional align_corners, BoolOptional recompute_scale_factor)
static Tensor	torch.inverse_out(Tensor out, Tensor self)
static Tensor	torch.inverse_outf(Tensor self, Tensor out)
static Tensor	torch.inverse(Tensor self)
static Tensor	torch.invert_permutation(Tensor permutation)
static Tensor	torch.isclose(Tensor self, Tensor other)
static Tensor	torch.isclose(Tensor self, Tensor other, double rtol, double atol, boolean equal_nan)
static Tensor	torch.isfinite(Tensor self)
static Tensor	torch.isin_out(Tensor out, Scalar element, Tensor test_elements)
static Tensor	torch.isin_out(Tensor out, Scalar element, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Scalar test_element)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Scalar test_element, boolean assume_unique, boolean invert)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Tensor test_elements)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isin_outf(Scalar element, Tensor test_elements, boolean assume_unique, boolean invert, Tensor out)
static Tensor	torch.isin_outf(Tensor elements, Scalar test_element, boolean assume_unique, boolean invert, Tensor out)
static Tensor	torch.isin_outf(Tensor elements, Tensor test_elements, boolean assume_unique, boolean invert, Tensor out)
static Tensor	torch.isin(Scalar element, Tensor test_elements)
static Tensor	torch.isin(Scalar element, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isin(Tensor elements, Scalar test_element)
static Tensor	torch.isin(Tensor elements, Scalar test_element, boolean assume_unique, boolean invert)
static Tensor	torch.isin(Tensor elements, Tensor test_elements)
static Tensor	torch.isin(Tensor elements, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isinf(Tensor self)
static Tensor	torch.isnan(Tensor self)
static Tensor	torch.isneginf_out(Tensor out, Tensor self)
static Tensor	torch.isneginf_outf(Tensor self, Tensor out)
static Tensor	torch.isneginf(Tensor self)
static Tensor	torch.isposinf_out(Tensor out, Tensor self)
static Tensor	torch.isposinf_outf(Tensor self, Tensor out)
static Tensor	torch.isposinf(Tensor self)
static Tensor	torch.isreal(Tensor self)
static Tensor	torch.istft(Tensor self, long n_fft)
static Tensor	torch.istft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, boolean normalized, BoolOptional onesided, LongOptional length, boolean return_complex)
static Tensor	torch.kaiming_normal_(Tensor tensor)
static Tensor	torch.kaiming_normal_(Tensor tensor, double a, FanModeType mode, NonlinearityType nonlinearity) Fills the input Tensor with values according to the method described in "Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification" - He, K.
static Tensor	torch.kaiming_uniform_(Tensor tensor)
static Tensor	torch.kaiming_uniform_(Tensor tensor, double a, FanModeType mode, NonlinearityType nonlinearity) Fills the input Tensor with values according to the method described in "Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification" - He, K.
static Tensor	torch.kaiser_window(long window_length)
static Tensor	torch.kaiser_window(long window_length, boolean periodic)
static Tensor	torch.kaiser_window(long window_length, boolean periodic, double beta)
static Tensor	torch.kaiser_window(long window_length, boolean periodic, double beta, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.kaiser_window(long window_length, boolean periodic, double beta, TensorOptions options)
static Tensor	torch.kaiser_window(long window_length, boolean periodic, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.kaiser_window(long window_length, boolean periodic, TensorOptions options)
static Tensor	torch.kaiser_window(long window_length, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.kaiser_window(long window_length, TensorOptions options)
static Tensor	torch.kl_div_backward(Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.kl_div_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, boolean log_target)
static Tensor	torch.kl_div(Tensor self, Tensor target)
static Tensor	torch.kl_div(Tensor input, Tensor target, kldiv_loss_reduction_t reduction)
static Tensor	torch.kl_div(Tensor input, Tensor target, kldiv_loss_reduction_t reduction, boolean log_target)
static Tensor	torch.kl_div(Tensor input, Tensor target, KLDivLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.kl_div /** about the exact behavior of this functional.
static Tensor	torch.kl_div(Tensor self, Tensor target, long reduction, boolean log_target)
static Tensor	torch.kron_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.kron_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.kron(Tensor self, Tensor other)
static Tensor	torch.l1_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor grad_input)
static Tensor	torch.l1_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.l1_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.l1_loss(Tensor self, Tensor target)
static Tensor	torch.l1_loss(Tensor input, Tensor target, L1LossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.l1_loss /** about the exact behavior of this functional.
static Tensor	torch.l1_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.layer_norm(Tensor input, LayerNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.layer_norm /** about the exact behavior of this functional.
static Tensor	torch.layer_norm(Tensor input, long... normalized_shape)
static Tensor	torch.layer_norm(Tensor input, long[] normalized_shape, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enable)
static Tensor	torch.layer_norm(Tensor input, LongArrayRef normalized_shape)
static Tensor	torch.layer_norm(Tensor input, LongArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enable)
static Tensor	torch.layer_norm(Tensor input, LongVector normalized_shape, Tensor weight, Tensor bias, double eps)
static Tensor	torch.lcm_(Tensor self, Tensor other)
static Tensor	torch.lcm_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.lcm_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.lcm(Tensor self, Tensor other)
static Tensor	torch.ldexp_(Tensor self, Tensor other)
static Tensor	torch.ldexp_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.ldexp_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.ldexp(Tensor self, Tensor other)
static Tensor	torch.le_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.le_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.le_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.le_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.le(Tensor self, Scalar other)
static Tensor	torch.le(Tensor self, Tensor other)
static Tensor	torch.leaky_relu_(Tensor self)
static Tensor	torch.leaky_relu_(Tensor self, Scalar negative_slope)
static Tensor	torch.leaky_relu_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar negative_slope, boolean self_is_result)
static Tensor	torch.leaky_relu_backward_outf(Tensor grad_output, Tensor self, Scalar negative_slope, boolean self_is_result, Tensor grad_input)
static Tensor	torch.leaky_relu_backward(Tensor grad_output, Tensor self, Scalar negative_slope, boolean self_is_result)
static Tensor	torch.leaky_relu_out(Tensor out, Tensor self)
static Tensor	torch.leaky_relu_out(Tensor out, Tensor self, Scalar negative_slope)
static Tensor	torch.leaky_relu_outf(Tensor self, Scalar negative_slope, Tensor out)
static Tensor	torch.leaky_relu(Tensor self)
static Tensor	torch.leaky_relu(Tensor input, double negative_slope, boolean inplace)
static Tensor	torch.leaky_relu(Tensor input, LeakyReLUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.leaky_relu /** about the exact behavior of this functional.
static Tensor	torch.leaky_relu(Tensor self, Scalar negative_slope)
static Tensor	torch.lerp_out(Tensor out, Tensor self, Tensor end, Scalar weight)
static Tensor	torch.lerp_out(Tensor out, Tensor self, Tensor end, Tensor weight)
static Tensor	torch.lerp_outf(Tensor self, Tensor end, Scalar weight, Tensor out)
static Tensor	torch.lerp_outf(Tensor self, Tensor end, Tensor weight, Tensor out)
static Tensor	torch.lerp(Tensor self, Tensor end, Scalar weight)
static Tensor	torch.lerp(Tensor self, Tensor end, Tensor weight)
static Tensor	torch.less_equal_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.less_equal_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.less_equal_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.less_equal_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.less_equal(Tensor self, Scalar other)
static Tensor	torch.less_equal(Tensor self, Tensor other)
static Tensor	torch.less_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.less_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.less_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.less_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.less(Tensor self, Scalar other)
static Tensor	torch.less(Tensor self, Tensor other)
static Tensor	torch.lessThan(Scalar x, Tensor y)
static Tensor	torch.lessThan(Tensor x, Scalar y)
static Tensor	torch.lessThan(Tensor x, Tensor y)
static Tensor	torch.lessThanEquals(Scalar x, Tensor y)
static Tensor	torch.lessThanEquals(Tensor x, Scalar y)
static Tensor	torch.lessThanEquals(Tensor x, Tensor y)
static Tensor	torch.lgamma_out(Tensor out, Tensor self)
static Tensor	torch.lgamma_outf(Tensor self, Tensor out)
static Tensor	torch.lgamma(Tensor self)
static Tensor	torch.linalg_cholesky_out(Tensor out, Tensor self)
static Tensor	torch.linalg_cholesky_out(Tensor out, Tensor self, boolean upper)
static Tensor	torch.linalg_cholesky_outf(Tensor self, boolean upper, Tensor out)
static Tensor	torch.linalg_cholesky(Tensor self)
static Tensor	torch.linalg_cholesky(Tensor self, boolean upper)
static Tensor	torch.linalg_cond_out(Tensor out, Tensor self)
static Tensor	torch.linalg_cond_out(Tensor out, Tensor self, Pointer p)
static Tensor	torch.linalg_cond_out(Tensor out, Tensor self, ScalarOptional p)
static Tensor	torch.linalg_cond_outf(Tensor self, Pointer p, Tensor out)
static Tensor	torch.linalg_cond_outf(Tensor self, ScalarOptional p, Tensor out)
static Tensor	torch.linalg_cond(Tensor self)
static Tensor	torch.linalg_cond(Tensor self, Pointer p)
static Tensor	torch.linalg_cond(Tensor self, ScalarOptional p)
static Tensor	torch.linalg_det_out(Tensor out, Tensor self)
static Tensor	torch.linalg_det_outf(Tensor self, Tensor out)
static Tensor	torch.linalg_det(Tensor self)
static Tensor	torch.linalg_eigvals_out(Tensor out, Tensor self)
static Tensor	torch.linalg_eigvals_outf(Tensor self, Tensor out)
static Tensor	torch.linalg_eigvals(Tensor self)
static Tensor	torch.linalg_eigvalsh_out(Tensor out, Tensor self)
static Tensor	torch.linalg_eigvalsh_out(Tensor out, Tensor self, Pointer UPLO)
static Tensor	torch.linalg_eigvalsh_outf(Tensor self, Pointer UPLO, Tensor out)
static Tensor	torch.linalg_eigvalsh(Tensor self)
static Tensor	torch.linalg_eigvalsh(Tensor self, Pointer UPLO)
static Tensor	torch.linalg_householder_product_out(Tensor out, Tensor input, Tensor tau)
static Tensor	torch.linalg_householder_product_outf(Tensor input, Tensor tau, Tensor out)
static Tensor	torch.linalg_householder_product(Tensor input, Tensor tau)
static Tensor	torch.linalg_inv_out(Tensor out, Tensor self)
static Tensor	torch.linalg_inv_outf(Tensor self, Tensor out)
static Tensor	torch.linalg_inv(Tensor self)
static Tensor	torch.linalg_matmul_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.linalg_matmul_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.linalg_matmul(Tensor self, Tensor other)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Pointer ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Pointer ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Scalar ord)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Scalar ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Scalar ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Pointer ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Pointer ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Scalar ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Scalar ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm(Tensor self)
static Tensor	torch.linalg_matrix_norm(Tensor self, Pointer ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm(Tensor self, Pointer ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm(Tensor self, Scalar ord)
static Tensor	torch.linalg_matrix_norm(Tensor self, Scalar ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm(Tensor self, Scalar ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_power_out(Tensor out, Tensor self, long n)
static Tensor	torch.linalg_matrix_power_outf(Tensor self, long n, Tensor out)
static Tensor	torch.linalg_matrix_power(Tensor self, long n)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor self)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor self, DoubleOptional tol, boolean hermitian)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor input, Tensor tol)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor input, Tensor tol, boolean hermitian)
static Tensor	torch.linalg_matrix_rank_outf(Tensor self, DoubleOptional tol, boolean hermitian, Tensor out)
static Tensor	torch.linalg_matrix_rank_outf(Tensor input, Tensor tol, boolean hermitian, Tensor out)
static Tensor	torch.linalg_matrix_rank(Tensor self)
static Tensor	torch.linalg_matrix_rank(Tensor self, DoubleOptional tol, boolean hermitian)
static Tensor	torch.linalg_matrix_rank(Tensor input, Tensor tol)
static Tensor	torch.linalg_matrix_rank(Tensor input, Tensor tol, boolean hermitian)
static Tensor	torch.linalg_multi_dot_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.linalg_multi_dot_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.linalg_multi_dot(TensorArrayRef tensors)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self, Pointer ord)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self, Pointer ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self, ScalarOptional ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_norm_outf(Tensor self, Pointer ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_norm_outf(Tensor self, ScalarOptional ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_norm(Tensor self)
static Tensor	torch.linalg_norm(Tensor self, Pointer ord)
static Tensor	torch.linalg_norm(Tensor self, Pointer ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_norm(Tensor self, ScalarOptional ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self, double rcond, boolean hermitian)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self, Tensor rcond)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self, Tensor rcond, boolean hermitian)
static Tensor	torch.linalg_pinv_outf(Tensor self, double rcond, boolean hermitian, Tensor out)
static Tensor	torch.linalg_pinv_outf(Tensor self, Tensor rcond, boolean hermitian, Tensor out)
static Tensor	torch.linalg_pinv(Tensor self)
static Tensor	torch.linalg_pinv(Tensor self, double rcond, boolean hermitian)
static Tensor	torch.linalg_pinv(Tensor self, Tensor rcond)
static Tensor	torch.linalg_pinv(Tensor self, Tensor rcond, boolean hermitian)
static Tensor	torch.linalg_solve_out(Tensor out, Tensor input, Tensor other)
static Tensor	torch.linalg_solve_outf(Tensor input, Tensor other, Tensor out)
static Tensor	torch.linalg_solve(Tensor input, Tensor other)
static Tensor	torch.linalg_svdvals_out(Tensor out, Tensor input)
static Tensor	torch.linalg_svdvals_outf(Tensor input, Tensor out)
static Tensor	torch.linalg_svdvals(Tensor input)
static Tensor	torch.linalg_tensorinv_out(Tensor out, Tensor self)
static Tensor	torch.linalg_tensorinv_out(Tensor out, Tensor self, long ind)
static Tensor	torch.linalg_tensorinv_outf(Tensor self, long ind, Tensor out)
static Tensor	torch.linalg_tensorinv(Tensor self)
static Tensor	torch.linalg_tensorinv(Tensor self, long ind)
static Tensor	torch.linalg_tensorsolve_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.linalg_tensorsolve_out(Tensor out, Tensor self, Tensor other, LongArrayRefOptional dims)
static Tensor	torch.linalg_tensorsolve_outf(Tensor self, Tensor other, LongArrayRefOptional dims, Tensor out)
static Tensor	torch.linalg_tensorsolve(Tensor self, Tensor other)
static Tensor	torch.linalg_tensorsolve(Tensor self, Tensor other, LongArrayRefOptional dims)
static Tensor	torch.linalg_vector_norm_out(Tensor out, Tensor self)
static Tensor	torch.linalg_vector_norm_out(Tensor out, Tensor self, Scalar ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_vector_norm_outf(Tensor self, Scalar ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_vector_norm(Tensor self)
static Tensor	torch.linalg_vector_norm(Tensor self, Scalar ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linear_out(Tensor out, Tensor input, Tensor weight)
static Tensor	torch.linear_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias)
static Tensor	torch.linear_outf(Tensor input, Tensor weight, TensorOptional bias, Tensor out)
static Tensor	torch.linear(Tensor input, Tensor weight)
static Tensor	torch.linear(Tensor input, Tensor weight, Tensor bias)
static Tensor	torch.linear(Tensor input, Tensor weight, TensorOptional bias)
static Tensor	torch.linspace_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.linspace_out(Tensor out, Scalar start, Scalar end, LongOptional steps)
static Tensor	torch.linspace_outf(Scalar start, Scalar end, LongOptional steps, Tensor out)
static Tensor	torch.linspace(Scalar start, Scalar end)
static Tensor	torch.linspace(Scalar start, Scalar end, LongOptional steps, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.linspace(Scalar start, Scalar end, LongOptional steps, TensorOptions options)
static Tensor	torch.local_response_norm(Tensor input, LocalResponseNormOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.local_response_norm /** about the exact behavior of this functional.
static Tensor	torch.local_response_norm(Tensor input, long size, double alpha, double beta, double k)
static Tensor	torch.log_(Tensor self)
static Tensor	torch.log_out(Tensor out, Tensor self)
static Tensor	torch.log_outf(Tensor self, Tensor out)
static Tensor	torch.log_sigmoid_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor buffer)
static Tensor	torch.log_sigmoid_backward_outf(Tensor grad_output, Tensor self, Tensor buffer, Tensor grad_input)
static Tensor	torch.log_sigmoid_backward(Tensor grad_output, Tensor self, Tensor buffer)
static Tensor	torch.log_sigmoid_out(Tensor out, Tensor self)
static Tensor	torch.log_sigmoid_outf(Tensor self, Tensor out)
static Tensor	torch.log_sigmoid(Tensor self)
static Tensor	torch.log_softmax(Tensor self, Dimname dim)
static Tensor	torch.log_softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.log_softmax(Tensor input, LogSoftmaxFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.log_softmax /** about the exact behavior of this functional.
static Tensor	torch.log_softmax(Tensor self, long dim)
static Tensor	torch.log_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.log(Tensor self)
static Tensor	torch.log10_(Tensor self)
static Tensor	torch.log10_out(Tensor out, Tensor self)
static Tensor	torch.log10_outf(Tensor self, Tensor out)
static Tensor	torch.log10(Tensor self)
static Tensor	torch.log1p_(Tensor self)
static Tensor	torch.log1p_out(Tensor out, Tensor self)
static Tensor	torch.log1p_outf(Tensor self, Tensor out)
static Tensor	torch.log1p(Tensor self)
static Tensor	torch.log2_(Tensor self)
static Tensor	torch.log2_out(Tensor out, Tensor self)
static Tensor	torch.log2_outf(Tensor self, Tensor out)
static Tensor	torch.log2(Tensor self)
static Tensor	torch.logaddexp_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logaddexp_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logaddexp(Tensor self, Tensor other)
static Tensor	torch.logaddexp2_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logaddexp2_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logaddexp2(Tensor self, Tensor other)
static Tensor	torch.logcumsumexp_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.logcumsumexp_out(Tensor out, Tensor self, long dim)
static Tensor	torch.logcumsumexp_outf(Tensor self, Dimname dim, Tensor out)
static Tensor	torch.logcumsumexp_outf(Tensor self, long dim, Tensor out)
static Tensor	torch.logcumsumexp(Tensor self, Dimname dim)
static Tensor	torch.logcumsumexp(Tensor self, long dim)
static Tensor	torch.logdet(Tensor self)
static Tensor	torch.logical_and_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logical_and_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logical_and(Tensor self, Tensor other)
static Tensor	torch.logical_not_out(Tensor out, Tensor self)
static Tensor	torch.logical_not_outf(Tensor self, Tensor out)
static Tensor	torch.logical_not(Tensor self)
static Tensor	torch.logical_or_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logical_or_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logical_or(Tensor self, Tensor other)
static Tensor	torch.logical_xor_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logical_xor_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logical_xor(Tensor self, Tensor other)
static Tensor	torch.logit_(Tensor self)
static Tensor	torch.logit_(Tensor self, DoubleOptional eps)
static Tensor	torch.logit_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.logit_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, DoubleOptional eps)
static Tensor	torch.logit_backward_outf(Tensor grad_output, Tensor self, DoubleOptional eps, Tensor grad_input)
static Tensor	torch.logit_backward(Tensor grad_output, Tensor self)
static Tensor	torch.logit_backward(Tensor grad_output, Tensor self, DoubleOptional eps)
static Tensor	torch.logit_out(Tensor out, Tensor self)
static Tensor	torch.logit_out(Tensor out, Tensor self, DoubleOptional eps)
static Tensor	torch.logit_outf(Tensor self, DoubleOptional eps, Tensor out)
static Tensor	torch.logit(Tensor self)
static Tensor	torch.logit(Tensor self, DoubleOptional eps)
static Tensor	torch.logsigmoid(Tensor input)
static Tensor	torch.logspace_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.logspace_out(Tensor out, Scalar start, Scalar end, LongOptional steps, double base)
static Tensor	torch.logspace_outf(Scalar start, Scalar end, LongOptional steps, double base, Tensor out)
static Tensor	torch.logspace(Scalar start, Scalar end)
static Tensor	torch.logspace(Scalar start, Scalar end, LongOptional steps, double base, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.logspace(Scalar start, Scalar end, LongOptional steps, double base, TensorOptions options)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.logsumexp_outf(Tensor self, DimnameArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.logsumexp_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.logsumexp_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.logsumexp(Tensor self, DimnameArrayRef dim)
static Tensor	torch.logsumexp(Tensor self, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.logsumexp(Tensor self, long... dim)
static Tensor	torch.logsumexp(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.logsumexp(Tensor self, LongArrayRef dim)
static Tensor	torch.logsumexp(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.lp_pool1d(Tensor input, double norm_type, LongPointer kernel_size, LongPointer stride, boolean ceil_mode)
static Tensor	torch.lp_pool1d(Tensor input, LPPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.lp_pool1d /** about the exact behavior of this functional.
static Tensor	torch.lp_pool2d(Tensor input, double norm_type, LongPointer kernel_size, LongPointer stride, boolean ceil_mode)
static Tensor	torch.lp_pool2d(Tensor input, LPPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.lp_pool2d /** about the exact behavior of this functional.
static Tensor	torch.lt_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.lt_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.lt_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.lt_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.lt(Tensor self, Scalar other)
static Tensor	torch.lt(Tensor self, Tensor other)
static Tensor	torch.lu_solve_out(Tensor out, Tensor self, Tensor LU_data, Tensor LU_pivots)
static Tensor	torch.lu_solve_outf(Tensor self, Tensor LU_data, Tensor LU_pivots, Tensor out)
static Tensor	torch.lu_solve(Tensor self, Tensor LU_data, Tensor LU_pivots)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, byte creation_meta)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, byte creation_meta, boolean allow_tensor_metadata_change)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, torch.CreationMeta creation_meta)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, torch.CreationMeta creation_meta, boolean allow_tensor_metadata_change) Creates a Variable that is a *view* of another (*base*) variable.
static Tensor	torch.make_variable_non_differentiable_view(Tensor base, Tensor data)
static Tensor	torch.make_variable_non_differentiable_view(Tensor base, Tensor data, boolean allow_tensor_metadata_change)
static Tensor	torch.make_variable(Tensor data)
static Tensor	torch.make_variable(Tensor data, boolean requires_grad, boolean allow_tensor_metadata_change) Creates a Variable from the given Tensor, copying its underlying TensorImpl.
static Tensor	torch.make_variable(Tensor data, Edge gradient_edge)
static Tensor	torch.make_variable(Tensor data, Edge gradient_edge, boolean allow_tensor_metadata_change) Creates a Variable from the given Tensor, copying its underlying TensorImpl.
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target)
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, double margin, long reduction)
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, double margin, loss_reduction_t reduction)
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, MarginRankingLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.margin_ranking_loss /** about the exact behavior of this functional.
static Tensor	torch.masked_fill(Tensor self, Tensor mask, Scalar value)
static Tensor	torch.masked_fill(Tensor self, Tensor mask, Tensor value)
static Tensor	torch.masked_scatter(Tensor self, Tensor mask, Tensor source)
static Tensor	torch.masked_select_backward(Tensor grad, Tensor input, Tensor mask)
static Tensor	torch.masked_select_out(Tensor out, Tensor self, Tensor mask)
static Tensor	torch.masked_select_outf(Tensor self, Tensor mask, Tensor out)
static Tensor	torch.masked_select(Tensor self, Tensor mask)
static Tensor	torch.matmul_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.matmul_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.matmul(Tensor self, Tensor other)
static Tensor	torch.matrix_exp_backward(Tensor self, Tensor grad)
static Tensor	torch.matrix_exp(Tensor self)
static Tensor	torch.matrix_power_out(Tensor out, Tensor self, long n)
static Tensor	torch.matrix_power_outf(Tensor self, long n, Tensor out)
static Tensor	torch.matrix_power(Tensor self, long n)
static Tensor	torch.matrix_rank(Tensor self)
static Tensor	torch.matrix_rank(Tensor self, boolean symmetric)
static Tensor	torch.matrix_rank(Tensor self, double tol)
static Tensor	torch.matrix_rank(Tensor self, double tol, boolean symmetric)
static Tensor	torch.max_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.max_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.max_pool1d(Tensor self, long... kernel_size)
static Tensor	torch.max_pool1d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.max_pool1d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.max_pool1d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.max_pool1d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static Tensor	torch.max_pool1d(Tensor input, MaxPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_pool1d /** about the exact behavior of this functional.
static Tensor	torch.max_pool2d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool2d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool2d_with_indices_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool2d_with_indices_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool2d_with_indices_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool2d_with_indices_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.max_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.max_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.max_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.max_pool2d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static Tensor	torch.max_pool2d(Tensor input, MaxPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_pool2d /** about the exact behavior of this functional.
static Tensor	torch.max_pool3d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool3d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool3d_with_indices_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool3d_with_indices_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool3d_with_indices_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool3d_with_indices_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool3d(Tensor self, long... kernel_size)
static Tensor	torch.max_pool3d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.max_pool3d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.max_pool3d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.max_pool3d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static Tensor	torch.max_pool3d(Tensor input, MaxPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_pool3d /** about the exact behavior of this functional.
static Tensor	torch.max_unpool1d(Tensor input, Tensor indices, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongVectorOptional output_size)
static Tensor	torch.max_unpool1d(Tensor input, Tensor indices, MaxUnpool1dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_unpool1d /** about the exact behavior of this functional.
static Tensor	torch.max_unpool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, long[] output_size, Tensor grad_input)
static Tensor	torch.max_unpool2d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, Tensor grad_input)
static Tensor	torch.max_unpool2d_backward(Tensor grad_output, Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d_backward(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d_out(Tensor out, Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d_out(Tensor out, Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d_outf(Tensor self, Tensor indices, long[] output_size, Tensor out)
static Tensor	torch.max_unpool2d_outf(Tensor self, Tensor indices, LongArrayRef output_size, Tensor out)
static Tensor	torch.max_unpool2d(Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d(Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d(Tensor input, Tensor indices, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongVectorOptional output_size)
static Tensor	torch.max_unpool2d(Tensor input, Tensor indices, MaxUnpool2dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_unpool2d /** about the exact behavior of this functional.
static Tensor	torch.max_unpool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, long[] output_size, long[] stride, long[] padding, Tensor grad_input)
static Tensor	torch.max_unpool3d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.max_unpool3d_backward(Tensor grad_output, Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d_backward(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d_out(Tensor out, Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d_out(Tensor out, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d_outf(Tensor self, Tensor indices, long[] output_size, long[] stride, long[] padding, Tensor out)
static Tensor	torch.max_unpool3d_outf(Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.max_unpool3d(Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d(Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d(Tensor input, Tensor indices, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongVectorOptional output_size)
static Tensor	torch.max_unpool3d(Tensor input, Tensor indices, MaxUnpool3dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_unpool3d /** about the exact behavior of this functional.
static Tensor	torch.max(Tensor self)
static Tensor	torch.max(Tensor self, Tensor other)
static Tensor	torch.maximum_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.maximum_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.maximum(Tensor self, Tensor other)
static Tensor	torch.mean_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.mean_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.mean_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.mean_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean_outf(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.mean_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.mean_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.mean(Tensor self)
static Tensor	torch.mean(Tensor self, DimnameArrayRef dim)
static Tensor	torch.mean(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean(Tensor self, long... dim)
static Tensor	torch.mean(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean(Tensor self, LongArrayRef dim)
static Tensor	torch.mean(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean(Tensor self, ScalarTypeOptional dtype)
static Tensor	torch.median(Tensor self)
static Tensor	torch.min_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.min_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.min(Tensor self)
static Tensor	torch.min(Tensor self, Tensor other)
static Tensor	torch.minimum_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.minimum_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.minimum(Tensor self, Tensor other)
static Tensor	torch.miopen_convolution_backward_bias(Tensor grad_output)
static Tensor	torch.miopen_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.mish_(Tensor self)
static Tensor	torch.mish_backward(Tensor grad_output, Tensor self)
static Tensor	torch.mish_out(Tensor out, Tensor self)
static Tensor	torch.mish_outf(Tensor self, Tensor out)
static Tensor	torch.mish(Tensor self)
static Tensor	torch.mkldnn_adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self)
static Tensor	torch.mkldnn_adaptive_avg_pool2d(Tensor self, long... output_size)
static Tensor	torch.mkldnn_adaptive_avg_pool2d(Tensor self, LongArrayRef output_size)
static Tensor	torch.mkldnn_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean bias_defined)
static Tensor	torch.mkldnn_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean bias_defined)
static Tensor	torch.mkldnn_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_linear_backward_input(long[] input_size, Tensor grad_output, Tensor weight)
static Tensor	torch.mkldnn_linear_backward_input(LongArrayRef input_size, Tensor grad_output, Tensor weight)
static Tensor	torch.mkldnn_linear(Tensor self, Tensor weight)
static Tensor	torch.mkldnn_linear(Tensor self, Tensor weight, TensorOptional bias)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, long... kernel_size)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, long... kernel_size)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, long... kernel_size)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_reorder_conv2d_weight(Tensor self)
static Tensor	torch.mkldnn_reorder_conv2d_weight(Tensor self, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_reorder_conv2d_weight(Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_reorder_conv3d_weight(Tensor self)
static Tensor	torch.mkldnn_reorder_conv3d_weight(Tensor self, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_reorder_conv3d_weight(Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mm_out(Tensor out, Tensor self, Tensor mat2)
static Tensor	torch.mm_outf(Tensor self, Tensor mat2, Tensor out)
static Tensor	torch.mm(Tensor self, Tensor mat2)
static Tensor	torch.mod(Scalar x, Tensor y)
static Tensor	torch.mod(Tensor x, Scalar y)
static Tensor	torch.mod(Tensor x, Tensor y)
static Tensor	torch.moveaxis(Tensor self, long[] source, long... destination)
static Tensor	torch.moveaxis(Tensor self, LongArrayRef source, LongArrayRef destination)
static Tensor	torch.moveaxis(Tensor self, long source, long destination)
static Tensor	torch.movedim(Tensor self, long[] source, long... destination)
static Tensor	torch.movedim(Tensor self, LongArrayRef source, LongArrayRef destination)
static Tensor	torch.movedim(Tensor self, long source, long destination)
static Tensor	torch.mse_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor grad_input)
static Tensor	torch.mse_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.mse_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.mse_loss(Tensor self, Tensor target)
static Tensor	torch.mse_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.mse_loss(Tensor input, Tensor target, MSELossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.mse_loss /** about the exact behavior of this functional.
static Tensor	torch.msort_out(Tensor out, Tensor self)
static Tensor	torch.msort_outf(Tensor self, Tensor out)
static Tensor	torch.msort(Tensor self)
static Tensor	torch.mul_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.mul_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.mul(Tensor self, Scalar other)
static Tensor	torch.mul(Tensor self, Tensor other)
static Tensor	torch.multi_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin)
static Tensor	torch.multi_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction, Tensor grad_input)
static Tensor	torch.multi_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin)
static Tensor	torch.multi_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.multi_margin_loss_out(Tensor out, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_outf(Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction, Tensor out)
static Tensor	torch.multi_margin_loss(Tensor self, Tensor target)
static Tensor	torch.multi_margin_loss(Tensor input, Tensor target, long p, double margin, Tensor weight, loss_reduction_t reduction)
static Tensor	torch.multi_margin_loss(Tensor input, Tensor target, MultiMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.multi_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.multi_margin_loss(Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multilabel_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor is_target)
static Tensor	torch.multilabel_margin_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor is_target, Tensor grad_input)
static Tensor	torch.multilabel_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor is_target)
static Tensor	torch.multilabel_margin_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.multilabel_margin_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.multilabel_margin_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.multilabel_margin_loss(Tensor self, Tensor target)
static Tensor	torch.multilabel_margin_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.multilabel_margin_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.multilabel_margin_loss(Tensor input, Tensor target, MultiLabelMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.multilabel_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.multilabel_soft_margin_loss(Tensor input, Tensor target)
static Tensor	torch.multilabel_soft_margin_loss(Tensor input, Tensor target, MultiLabelSoftMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.multilabel_soft_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.multilabel_soft_margin_loss(Tensor input, Tensor target, Tensor weight, loss_reduction_t reduction)
static Tensor	torch.multinomial_out(Tensor out, Tensor self, long num_samples)
static Tensor	torch.multinomial_out(Tensor out, Tensor self, long num_samples, boolean replacement, GeneratorOptional generator)
static Tensor	torch.multinomial_outf(Tensor self, long num_samples, boolean replacement, GeneratorOptional generator, Tensor out)
static Tensor	torch.multinomial(Tensor self, long num_samples)
static Tensor	torch.multinomial(Tensor self, long num_samples, boolean replacement, GeneratorOptional generator)
static Tensor	torch.multiply_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.multiply_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.multiply(Scalar x, Tensor y)
static Tensor	torch.multiply(Tensor self, Scalar other)
static Tensor	torch.multiply(Tensor self, Tensor other)
static Tensor	torch.mv_out(Tensor out, Tensor self, Tensor vec)
static Tensor	torch.mv_outf(Tensor self, Tensor vec, Tensor out)
static Tensor	torch.mv(Tensor self, Tensor vec)
static Tensor	torch.mvlgamma_out(Tensor out, Tensor self, long p)
static Tensor	torch.mvlgamma_outf(Tensor self, long p, Tensor out)
static Tensor	torch.mvlgamma(Tensor self, long p)
static Tensor	torch.nan_to_num_(Tensor self)
static Tensor	torch.nan_to_num_(Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
static Tensor	torch.nan_to_num_out(Tensor out, Tensor self)
static Tensor	torch.nan_to_num_out(Tensor out, Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
static Tensor	torch.nan_to_num_outf(Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf, Tensor out)
static Tensor	torch.nan_to_num(Tensor self)
static Tensor	torch.nan_to_num(Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
static Tensor	torch.nanmean_out(Tensor out, Tensor self)
static Tensor	torch.nanmean_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nanmean_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nanmean_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nanmean_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nanmean(Tensor self)
static Tensor	torch.nanmean(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nanmean(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nanmedian(Tensor self)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, double q)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, Tensor q)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nanquantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.nanquantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.nanquantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.nanquantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.nanquantile(Tensor self, double q)
static Tensor	torch.nanquantile(Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nanquantile(Tensor self, Tensor q)
static Tensor	torch.nanquantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nansum_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.nansum_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.nansum_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nansum_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nansum(Tensor self)
static Tensor	torch.nansum(Tensor self, long... dim)
static Tensor	torch.nansum(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum(Tensor self, LongArrayRef dim)
static Tensor	torch.nansum(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum(Tensor self, ScalarTypeOptional dtype)
static Tensor	torch.narrow_copy_out(Tensor out, Tensor self, long dim, long start, long length)
static Tensor	torch.narrow_copy_outf(Tensor self, long dim, long start, long length, Tensor out)
static Tensor	torch.narrow_copy(Tensor self, long dim, long start, long length)
static Tensor	torch.narrow(Tensor self, long dim, long start, long length)
static Tensor	torch.narrow(Tensor self, long dim, Tensor start, long length)
static Tensor	torch.native_norm(Tensor self)
static Tensor	torch.native_norm(Tensor self, Scalar p)
static Tensor	torch.native_norm(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.native_norm(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.ne_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.ne_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.ne_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.ne_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.ne(Tensor self, Scalar other)
static Tensor	torch.ne(Tensor self, Tensor other)
static Tensor	torch.neg_(Tensor self)
static Tensor	torch.neg_out(Tensor out, Tensor self)
static Tensor	torch.neg_outf(Tensor self, Tensor out)
static Tensor	torch.neg(Tensor self)
static Tensor	torch.negative_(Tensor self)
static Tensor	torch.negative_out(Tensor out, Tensor self)
static Tensor	torch.negative_outf(Tensor self, Tensor out)
static Tensor	torch.negative(Tensor self)
static Tensor	torch.nextafter_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.nextafter_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.nextafter(Tensor self, Tensor other)
static Tensor	torch.nll_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss_nd(Tensor self, Tensor target)
static Tensor	torch.nll_loss_nd(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.nll_loss_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor out)
static Tensor	torch.nll_loss(Tensor self, Tensor target)
static Tensor	torch.nll_loss(Tensor input, Tensor target, NLLLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.nll_loss /** about the exact behavior of this functional.
static Tensor	torch.nll_loss(Tensor input, Tensor target, Tensor weight, long ignore_index, loss_reduction_t reduction)
static Tensor	torch.nll_loss(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss2d_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss2d_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss2d_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.nll_loss2d_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor out)
static Tensor	torch.nll_loss2d(Tensor self, Tensor target)
static Tensor	torch.nll_loss2d(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nonzero_out(Tensor out, Tensor self)
static Tensor	torch.nonzero_outf(Tensor self, Tensor out)
static Tensor	torch.nonzero(Tensor self)
static Tensor	torch.norm_except_dim(Tensor v)
static Tensor	torch.norm_except_dim(Tensor v, long pow, long dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameArrayRef dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, long... dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, long[] dim, boolean keepdim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, LongArrayRef dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm(Tensor self)
static Tensor	torch.norm(Tensor self, Scalar p)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameArrayRef dim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, long... dim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, long[] dim, boolean keepdim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, LongArrayRef dim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, torch.ScalarType dtype)
static Tensor	torch.normal_(Tensor tensor)
static Tensor	torch.normal_(Tensor tensor, double mean, double std) Fills the given 2-dimensional matrix with values drawn from a normal distribution parameterized by mean and std.
static Tensor	torch.normal_out(Tensor out, double mean, double std, long... size)
static Tensor	torch.normal_out(Tensor out, double mean, double std, long[] size, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, double mean, double std, LongArrayRef size)
static Tensor	torch.normal_out(Tensor out, double mean, double std, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, double mean, Tensor std)
static Tensor	torch.normal_out(Tensor out, double mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, Tensor mean)
static Tensor	torch.normal_out(Tensor out, Tensor mean, double std, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, Tensor mean, Tensor std)
static Tensor	torch.normal_out(Tensor out, Tensor mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normal_outf(double mean, double std, long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(double mean, double std, LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(double mean, Tensor std, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(Tensor mean, double std, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(Tensor mean, Tensor std, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal(double mean, double std, long... size)
static Tensor	torch.normal(double mean, double std, long[] size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.normal(double mean, double std, long[] size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.normal(double mean, double std, LongArrayRef size)
static Tensor	torch.normal(double mean, double std, LongArrayRef size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.normal(double mean, double std, LongArrayRef size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.normal(double mean, Tensor std)
static Tensor	torch.normal(double mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normal(Tensor mean)
static Tensor	torch.normal(Tensor mean, double std, GeneratorOptional generator)
static Tensor	torch.normal(Tensor mean, Tensor std)
static Tensor	torch.normal(Tensor mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normalize(Tensor input)
static Tensor	torch.normalize(Tensor input, double p, long dim, double eps, TensorOptional out)
static Tensor	torch.normalize(Tensor input, NormalizeFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.normalize /** about the exact behavior of this functional.
static Tensor	torch.not_equal_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.not_equal_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.not_equal_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.not_equal_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.not_equal(Tensor self, Scalar other)
static Tensor	torch.not_equal(Tensor self, Tensor other)
static Tensor	torch.notEquals(Scalar x, Tensor y)
static Tensor	torch.notEquals(Tensor x, Scalar y)
static Tensor	torch.notEquals(Tensor x, Tensor y)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, boolean keepdim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.nuclear_norm_outf(Tensor self, boolean keepdim, Tensor out)
static Tensor	torch.nuclear_norm_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.nuclear_norm_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.nuclear_norm(Tensor self)
static Tensor	torch.nuclear_norm(Tensor self, boolean keepdim)
static Tensor	torch.nuclear_norm(Tensor self, long... dim)
static Tensor	torch.nuclear_norm(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.nuclear_norm(Tensor self, LongArrayRef dim)
static Tensor	torch.nuclear_norm(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.one_hot(Tensor self)
static Tensor	torch.one_hot(Tensor self, long num_classes)
static Tensor	torch.ones_(Tensor tensor) Fills the given tensor with ones.
static Tensor	torch.ones_like(Tensor self)
static Tensor	torch.ones_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.ones_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.ones_out(Tensor out, long... size)
static Tensor	torch.ones_out(Tensor out, LongArrayRef size)
static Tensor	torch.ones_outf(long[] size, Tensor out)
static Tensor	torch.ones_outf(LongArrayRef size, Tensor out)
static Tensor	torch.ones(long... size)
static Tensor	torch.ones(long[] size, DimnameListOptional names)
static Tensor	torch.ones(long[] size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.ones(long[] size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.ones(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.ones(long[] size, TensorOptions options)
static Tensor	torch.ones(LongArrayRef size)
static Tensor	torch.ones(LongArrayRef size, DimnameListOptional names)
static Tensor	torch.ones(LongArrayRef size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.ones(LongArrayRef size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.ones(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.ones(LongArrayRef size, TensorOptions options)
static Tensor	torch.or(Scalar x, Tensor y)
static Tensor	torch.or(Tensor x, Scalar y)
static Tensor	torch.or(Tensor x, Tensor y)
static Tensor	torch.orgqr_out(Tensor out, Tensor self, Tensor input2)
static Tensor	torch.orgqr_outf(Tensor self, Tensor input2, Tensor out)
static Tensor	torch.orgqr(Tensor self, Tensor input2)
static Tensor	torch.ormqr_out(Tensor out, Tensor self, Tensor input2, Tensor input3)
static Tensor	torch.ormqr_out(Tensor out, Tensor self, Tensor input2, Tensor input3, boolean left, boolean transpose)
static Tensor	torch.ormqr_outf(Tensor self, Tensor input2, Tensor input3, boolean left, boolean transpose, Tensor out)
static Tensor	torch.ormqr(Tensor self, Tensor input2, Tensor input3)
static Tensor	torch.ormqr(Tensor self, Tensor input2, Tensor input3, boolean left, boolean transpose)
static Tensor	torch.orthogonal_(Tensor tensor)
static Tensor	torch.orthogonal_(Tensor tensor, double gain) Fills the input Tensor with a (semi) orthogonal matrix, as described in "Exact solutions to the nonlinear dynamics of learning in deep linear neural networks" - Saxe, A.
static Tensor	torch.outer_out(Tensor out, Tensor self, Tensor vec2)
static Tensor	torch.outer_outf(Tensor self, Tensor vec2, Tensor out)
static Tensor	torch.outer(Tensor self, Tensor vec2)
static Tensor	torch.pad_sequence(TensorArrayRef sequences)
static Tensor	torch.pad_sequence(TensorArrayRef sequences, boolean batch_first, double padding_value)
static Tensor	torch.pad(Tensor input, long[] pad, pad_mode_t mode, double value)
static Tensor	torch.pad(Tensor input, LongArrayRef pad, pad_mode_t mode, double value)
static Tensor	torch.pad(Tensor input, PadFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.pad /** about the exact behavior of this functional.
static Tensor	torch.pairwise_distance(Tensor x1, Tensor x2)
static Tensor	torch.pairwise_distance(Tensor x1, Tensor x2, double p, double eps, boolean keepdim)
static Tensor	torch.pairwise_distance(Tensor x1, Tensor x2, PairwiseDistanceOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.pairwise_distance /** about the exact behavior of this functional.
static Tensor	torch.parameters_to_vector(Tensor parameters)
static Tensor	torch.pdist(Tensor self)
static Tensor	torch.pdist(Tensor self, double p)
static Tensor	torch.permute(Tensor self, long... dims)
static Tensor	torch.permute(Tensor self, LongArrayRef dims)
static Tensor	torch.pinverse(Tensor self)
static Tensor	torch.pinverse(Tensor self, double rcond)
static Tensor	torch.pixel_shuffle(Tensor self, long upscale_factor)
static Tensor	torch.pixel_shuffle(Tensor input, PixelShuffleOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.pixel_shuffle /** about the exact behavior of this functional.
static Tensor	torch.pixel_unshuffle(Tensor self, long downscale_factor)
static Tensor	torch.pixel_unshuffle(Tensor input, PixelUnshuffleOptions options)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target, boolean log_input, boolean full, double eps, long reduction)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target, boolean log_input, boolean full, double eps, loss_reduction_t reduction)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target, PoissonNLLLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.poisson_nll_loss /** about the exact behavior of this functional.
static Tensor	torch.poisson(Tensor self)
static Tensor	torch.poisson(Tensor self, GeneratorOptional generator)
static Tensor	torch.polar_out(Tensor out, Tensor abs, Tensor angle)
static Tensor	torch.polar_outf(Tensor abs, Tensor angle, Tensor out)
static Tensor	torch.polar(Tensor abs, Tensor angle)
static Tensor	torch.polygamma_out(Tensor out, long n, Tensor self)
static Tensor	torch.polygamma_outf(long n, Tensor self, Tensor out)
static Tensor	torch.polygamma(long n, Tensor self)
static Tensor	torch.positive(Tensor self)
static Tensor	torch.pow_out(Tensor out, Scalar self, Tensor exponent)
static Tensor	torch.pow_out(Tensor out, Tensor self, Scalar exponent)
static Tensor	torch.pow_out(Tensor out, Tensor self, Tensor exponent)
static Tensor	torch.pow_outf(Scalar self, Tensor exponent, Tensor out)
static Tensor	torch.pow_outf(Tensor self, Scalar exponent, Tensor out)
static Tensor	torch.pow_outf(Tensor self, Tensor exponent, Tensor out)
static Tensor	torch.pow(Scalar self, Tensor exponent)
static Tensor	torch.pow(Tensor self, Scalar exponent)
static Tensor	torch.pow(Tensor self, Tensor exponent)
static Tensor	torch.prelu(Tensor self, Tensor weight)
static Tensor	torch.prod_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.prod_out(Tensor out, Tensor self, Dimname dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod_out(Tensor out, Tensor self, long dim)
static Tensor	torch.prod_out(Tensor out, Tensor self, long dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod_outf(Tensor self, Dimname dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.prod_outf(Tensor self, long dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.prod(Tensor self)
static Tensor	torch.prod(Tensor self, Dimname dim)
static Tensor	torch.prod(Tensor self, Dimname dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod(Tensor self, long dim)
static Tensor	torch.prod(Tensor self, long dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod(Tensor self, ScalarTypeOptional dtype)
static Tensor	torch.propagate_names_if_nonempty(Tensor result, DimnameArrayRef maybe_names)
static Tensor	torch.propagate_names_if_nonempty(Tensor result, DimnameArrayRef maybe_names, boolean validate_names)
static Tensor	torch.propagate_names(Tensor result, DimnameArrayRef names)
static Tensor	torch.propagate_names(Tensor result, DimnameArrayRef names, boolean validate_names)
static Tensor	torch.put(Tensor self, Tensor index, Tensor source)
static Tensor	torch.put(Tensor self, Tensor index, Tensor source, boolean accumulate)
static Tensor	torch.q_per_channel_scales(Tensor self)
static Tensor	torch.q_per_channel_zero_points(Tensor self)
static Tensor	torch.quantile_out(Tensor out, Tensor self, double q)
static Tensor	torch.quantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantile_out(Tensor out, Tensor self, Tensor q)
static Tensor	torch.quantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.quantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.quantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.quantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.quantile(Tensor self, double q)
static Tensor	torch.quantile(Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantile(Tensor self, Tensor q)
static Tensor	torch.quantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantize_per_channel(Tensor self, Tensor scales, Tensor zero_points, long axis, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor(Tensor self, double scale, long zero_point, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor(Tensor self, Tensor scale, Tensor zero_point, torch.ScalarType dtype)
static Tensor	torch.quantized_batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor var, double eps, double output_scale, long output_zero_point)
static Tensor	torch.quantized_gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static Tensor	torch.quantized_max_pool1d(Tensor self, long... kernel_size)
static Tensor	torch.quantized_max_pool1d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.quantized_max_pool1d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.quantized_max_pool1d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.quantized_max_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.quantized_max_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.quantized_max_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.quantized_max_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.quantized_rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static Tensor	torch.quantized_rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static Tensor	torch.rad2deg_(Tensor self)
static Tensor	torch.rad2deg_out(Tensor out, Tensor self)
static Tensor	torch.rad2deg_outf(Tensor self, Tensor out)
static Tensor	torch.rad2deg(Tensor self)
static Tensor	torch.rand_like(Tensor self)
static Tensor	torch.rand_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.rand_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.rand_out(Tensor out, long... size)
static Tensor	torch.rand_out(Tensor out, long[] size, GeneratorOptional generator)
static Tensor	torch.rand_out(Tensor out, LongArrayRef size)
static Tensor	torch.rand_out(Tensor out, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.rand_outf(long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.rand_outf(long[] size, Tensor out)
static Tensor	torch.rand_outf(LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.rand_outf(LongArrayRef size, Tensor out)
static Tensor	torch.rand(long... size)
static Tensor	torch.rand(long[] size, DimnameListOptional names)
static Tensor	torch.rand(long[] size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(long[] size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.rand(long[] size, GeneratorOptional generator)
static Tensor	torch.rand(long[] size, GeneratorOptional generator, DimnameListOptional names)
static Tensor	torch.rand(long[] size, GeneratorOptional generator, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(long[] size, GeneratorOptional generator, DimnameListOptional names, TensorOptions options)
static Tensor	torch.rand(long[] size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(long[] size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.rand(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(long[] size, TensorOptions options)
static Tensor	torch.rand(LongArrayRef size)
static Tensor	torch.rand(LongArrayRef size, DimnameListOptional names)
static Tensor	torch.rand(LongArrayRef size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(LongArrayRef size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.rand(LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.rand(LongArrayRef size, GeneratorOptional generator, DimnameListOptional names)
static Tensor	torch.rand(LongArrayRef size, GeneratorOptional generator, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(LongArrayRef size, GeneratorOptional generator, DimnameListOptional names, TensorOptions options)
static Tensor	torch.rand(LongArrayRef size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(LongArrayRef size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.rand(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.rand(LongArrayRef size, TensorOptions options)
static Tensor	torch.randint_like(Tensor self, long high)
static Tensor	torch.randint_like(Tensor self, long low, long high)
static Tensor	torch.randint_like(Tensor self, long low, long high, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.randint_like(Tensor self, long low, long high, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.randint_like(Tensor self, long high, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.randint_like(Tensor self, long high, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.randint_out(Tensor out, long high, long... size)
static Tensor	torch.randint_out(Tensor out, long high, long[] size, GeneratorOptional generator)
static Tensor	torch.randint_out(Tensor out, long high, LongArrayRef size)
static Tensor	torch.randint_out(Tensor out, long high, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randint_out(Tensor out, long low, long high, long... size)
static Tensor	torch.randint_out(Tensor out, long low, long high, long[] size, GeneratorOptional generator)
static Tensor	torch.randint_out(Tensor out, long low, long high, LongArrayRef size)
static Tensor	torch.randint_out(Tensor out, long low, long high, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randint_outf(long high, long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long high, long[] size, Tensor out)
static Tensor	torch.randint_outf(long high, LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long high, LongArrayRef size, Tensor out)
static Tensor	torch.randint_outf(long low, long high, long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long low, long high, long[] size, Tensor out)
static Tensor	torch.randint_outf(long low, long high, LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long low, long high, LongArrayRef size, Tensor out)
static Tensor	torch.randint(long high, long... size)
static Tensor	torch.randint(long high, long[] size, GeneratorOptional generator)
static Tensor	torch.randint(long high, long[] size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long high, long[] size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.randint(long high, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long high, long[] size, TensorOptions options)
static Tensor	torch.randint(long high, LongArrayRef size)
static Tensor	torch.randint(long high, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randint(long high, LongArrayRef size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long high, LongArrayRef size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.randint(long high, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long high, LongArrayRef size, TensorOptions options)
static Tensor	torch.randint(long low, long high, long... size)
static Tensor	torch.randint(long low, long high, long[] size, GeneratorOptional generator)
static Tensor	torch.randint(long low, long high, long[] size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long low, long high, long[] size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.randint(long low, long high, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long low, long high, long[] size, TensorOptions options)
static Tensor	torch.randint(long low, long high, LongArrayRef size)
static Tensor	torch.randint(long low, long high, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randint(long low, long high, LongArrayRef size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long low, long high, LongArrayRef size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.randint(long low, long high, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randint(long low, long high, LongArrayRef size, TensorOptions options)
static Tensor	torch.randn_like(Tensor self)
static Tensor	torch.randn_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.randn_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.randn_out(Tensor out, long... size)
static Tensor	torch.randn_out(Tensor out, long[] size, GeneratorOptional generator)
static Tensor	torch.randn_out(Tensor out, LongArrayRef size)
static Tensor	torch.randn_out(Tensor out, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randn_outf(long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randn_outf(long[] size, Tensor out)
static Tensor	torch.randn_outf(LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randn_outf(LongArrayRef size, Tensor out)
static Tensor	torch.randn(long... size)
static Tensor	torch.randn(long[] size, DimnameListOptional names)
static Tensor	torch.randn(long[] size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(long[] size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.randn(long[] size, GeneratorOptional generator)
static Tensor	torch.randn(long[] size, GeneratorOptional generator, DimnameListOptional names)
static Tensor	torch.randn(long[] size, GeneratorOptional generator, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(long[] size, GeneratorOptional generator, DimnameListOptional names, TensorOptions options)
static Tensor	torch.randn(long[] size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(long[] size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.randn(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(long[] size, TensorOptions options)
static Tensor	torch.randn(LongArrayRef size)
static Tensor	torch.randn(LongArrayRef size, DimnameListOptional names)
static Tensor	torch.randn(LongArrayRef size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(LongArrayRef size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.randn(LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randn(LongArrayRef size, GeneratorOptional generator, DimnameListOptional names)
static Tensor	torch.randn(LongArrayRef size, GeneratorOptional generator, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(LongArrayRef size, GeneratorOptional generator, DimnameListOptional names, TensorOptions options)
static Tensor	torch.randn(LongArrayRef size, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(LongArrayRef size, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.randn(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randn(LongArrayRef size, TensorOptions options)
static Tensor	torch.randperm_out(Tensor out, long n)
static Tensor	torch.randperm_out(Tensor out, long n, GeneratorOptional generator)
static Tensor	torch.randperm_outf(long n, GeneratorOptional generator, Tensor out)
static Tensor	torch.randperm_outf(long n, Tensor out)
static Tensor	torch.randperm(long n)
static Tensor	torch.randperm(long n, GeneratorOptional generator)
static Tensor	torch.randperm(long n, GeneratorOptional generator, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randperm(long n, GeneratorOptional generator, TensorOptions options)
static Tensor	torch.randperm(long n, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.randperm(long n, TensorOptions options)
static Tensor	torch.range_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.range_out(Tensor out, Scalar start, Scalar end, Scalar step)
static Tensor	torch.range_outf(Scalar start, Scalar end, Scalar step, Tensor out)
static Tensor	torch.range(Scalar start, Scalar end, Scalar step, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.range(Scalar start, Scalar end, Scalar step, TensorOptions options)
static Tensor	torch.range(Scalar start, Scalar end, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.range(Scalar start, Scalar end, TensorOptions options)
static Tensor	torch.ravel(Tensor self)
static Tensor	torch.real(Tensor self)
static Tensor	torch.reciprocal_(Tensor self)
static Tensor	torch.reciprocal_out(Tensor out, Tensor self)
static Tensor	torch.reciprocal_outf(Tensor self, Tensor out)
static Tensor	torch.reciprocal(Tensor self)
static Tensor	torch.reflection_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad1d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.reflection_pad1d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.reflection_pad1d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad1d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad1d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.reflection_pad1d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad1d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.reflection_pad1d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.reflection_pad1d(Tensor self, long... padding)
static Tensor	torch.reflection_pad1d(Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.reflection_pad2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.reflection_pad2d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad2d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.reflection_pad2d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.reflection_pad2d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.reflection_pad2d(Tensor self, long... padding)
static Tensor	torch.reflection_pad2d(Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.reflection_pad3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.reflection_pad3d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad3d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.reflection_pad3d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.reflection_pad3d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.reflection_pad3d(Tensor self, long... padding)
static Tensor	torch.reflection_pad3d(Tensor self, LongArrayRef padding)
static Tensor	torch.relu_(Tensor self)
static Tensor	torch.relu(Tensor self)
static Tensor	torch.relu(Tensor input, boolean inplace)
static Tensor	torch.relu(Tensor input, ReLUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.relu /** about the exact behavior of this functional.
static Tensor	torch.relu6_(Tensor self)
static Tensor	torch.relu6(Tensor self)
static Tensor	torch.relu6(Tensor input, boolean inplace)
static Tensor	torch.relu6(Tensor input, ReLU6Options options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.relu6 /** about the exact behavior of this functional.
static Tensor	torch.remainder_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.remainder_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.remainder_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.remainder_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.remainder(Scalar self, Tensor other)
static Tensor	torch.remainder(Tensor self, Scalar other)
static Tensor	torch.remainder(Tensor self, Tensor other)
static Tensor	torch.renorm_out(Tensor out, Tensor self, Scalar p, long dim, Scalar maxnorm)
static Tensor	torch.renorm_outf(Tensor self, Scalar p, long dim, Scalar maxnorm, Tensor out)
static Tensor	torch.renorm(Tensor self, Scalar p, long dim, Scalar maxnorm)
static Tensor	torch.repeat_interleave(Tensor repeats)
static Tensor	torch.repeat_interleave(Tensor self, long repeats)
static Tensor	torch.repeat_interleave(Tensor self, long repeats, LongOptional dim, LongOptional output_size)
static Tensor	torch.repeat_interleave(Tensor repeats, LongOptional output_size)
static Tensor	torch.repeat_interleave(Tensor self, Tensor repeats)
static Tensor	torch.repeat_interleave(Tensor self, Tensor repeats, LongOptional dim, LongOptional output_size)
static Tensor	torch.replication_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad1d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.replication_pad1d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.replication_pad1d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad1d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad1d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.replication_pad1d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad1d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.replication_pad1d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.replication_pad1d(Tensor self, long... padding)
static Tensor	torch.replication_pad1d(Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.replication_pad2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.replication_pad2d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad2d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.replication_pad2d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.replication_pad2d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.replication_pad2d(Tensor self, long... padding)
static Tensor	torch.replication_pad2d(Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.replication_pad3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.replication_pad3d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad3d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.replication_pad3d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.replication_pad3d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.replication_pad3d(Tensor self, long... padding)
static Tensor	torch.replication_pad3d(Tensor self, LongArrayRef padding)
static Tensor	torch.reshape(Tensor self, long... shape)
static Tensor	torch.reshape(Tensor self, LongArrayRef shape)
static Tensor	torch.resize_as_(Tensor self, Tensor the_template)
static Tensor	torch.resize_as_(Tensor self, Tensor the_template, MemoryFormatOptional memory_format)
static Tensor	torch.resize_as_sparse_(Tensor self, Tensor the_template)
static Tensor	torch.resolve_conj(Tensor self)
static Tensor	torch.resolve_neg(Tensor self)
static Tensor	torch.rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh)
static Tensor	torch.rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static Tensor	torch.rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh)
static Tensor	torch.rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static Tensor	torch.roll(Tensor self, long... shifts)
static Tensor	torch.roll(Tensor self, long[] shifts, long... dims)
static Tensor	torch.roll(Tensor self, LongArrayRef shifts)
static Tensor	torch.roll(Tensor self, LongArrayRef shifts, LongArrayRef dims)
static Tensor	torch.rot90(Tensor self)
static Tensor	torch.rot90(Tensor self, long k, long... dims)
static Tensor	torch.rot90(Tensor self, long k, LongArrayRef dims)
static Tensor	torch.round_(Tensor self)
static Tensor	torch.round_out(Tensor out, Tensor self)
static Tensor	torch.round_outf(Tensor self, Tensor out)
static Tensor	torch.round(Tensor self)
static Tensor	torch.row_stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.row_stack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.row_stack(TensorArrayRef tensors)
static Tensor	torch.rrelu_(Tensor self)
static Tensor	torch.rrelu_(Tensor self, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu_with_noise_(Tensor self, Tensor noise)
static Tensor	torch.rrelu_with_noise_(Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu_with_noise_backward(Tensor grad_output, Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, boolean self_is_result)
static Tensor	torch.rrelu_with_noise_out(Tensor out, Tensor self, Tensor noise)
static Tensor	torch.rrelu_with_noise_out(Tensor out, Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu_with_noise_outf(Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator, Tensor out)
static Tensor	torch.rrelu_with_noise(Tensor self, Tensor noise)
static Tensor	torch.rrelu_with_noise(Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu(Tensor self)
static Tensor	torch.rrelu(Tensor input, double lower, double upper, boolean training, boolean inplace)
static Tensor	torch.rrelu(Tensor input, RReLUFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.rrelu /** about the exact behavior of this functional.
static Tensor	torch.rrelu(Tensor self, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rsqrt_(Tensor self)
static Tensor	torch.rsqrt_out(Tensor out, Tensor self)
static Tensor	torch.rsqrt_outf(Tensor self, Tensor out)
static Tensor	torch.rsqrt(Tensor self)
static Tensor	torch.rsub(Tensor self, Scalar other)
static Tensor	torch.rsub(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.rsub(Tensor self, Tensor other)
static Tensor	torch.rsub(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.scalar_tensor_static(Scalar s, ScalarTypeOptional dtype_opt, DeviceOptional device_opt)
static Tensor	torch.scalar_tensor(Scalar s)
static Tensor	torch.scalar_tensor(Scalar s, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.scalar_tensor(Scalar s, TensorOptions options)
static Tensor	torch.scalar_to_tensor(Scalar s)
static Tensor	torch.scalar_to_tensor(Scalar s, Device device)
static Tensor	torch.scalarToTensor(Scalar v, TensorOptions options, Device self_device)
static Tensor	torch.scalarToTensorNonNativeDeviceType(Scalar v, TensorOptions options)
static Tensor	torch.scatter_add_out(Tensor out, Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter_add_outf(Tensor self, long dim, Tensor index, Tensor src, Tensor out)
static Tensor	torch.scatter_add(Tensor self, Dimname dim, Tensor index, Tensor src)
static Tensor	torch.scatter_add(Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Scalar value)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Scalar value, Pointer reduce)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Tensor src, Pointer reduce)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Scalar value, Pointer reduce, Tensor out)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Scalar value, Tensor out)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Tensor src, Pointer reduce, Tensor out)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Tensor src, Tensor out)
static Tensor	torch.scatter(Tensor self, Dimname dim, Tensor index, Scalar value)
static Tensor	torch.scatter(Tensor self, Dimname dim, Tensor index, Tensor src)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Scalar value)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Scalar value, Pointer reduce)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Tensor src, Pointer reduce)
static Tensor	torch.searchsorted_out(Tensor out, Tensor sorted_sequence, Tensor self)
static Tensor	torch.searchsorted_out(Tensor out, Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right)
static Tensor	torch.searchsorted_outf(Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right, Tensor out)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Scalar self)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Scalar self, boolean out_int32, boolean right)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Tensor self)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right)
static Tensor	torch.segment_reduce(Tensor data, Pointer reduce)
static Tensor	torch.segment_reduce(Tensor data, Pointer reduce, TensorOptional lengths, TensorOptional indices, long axis, boolean unsafe, ScalarOptional initial)
static Tensor	torch.select_backward(Tensor grad_output, long[] input_sizes, long dim, long index)
static Tensor	torch.select_backward(Tensor grad_output, LongArrayRef input_sizes, long dim, long index)
static Tensor	torch.select(Tensor self, Dimname dim, long index)
static Tensor	torch.select(Tensor self, long dim, long index)
static Tensor	torch.selu_(Tensor self)
static Tensor	torch.selu(Tensor self)
static Tensor	torch.selu(Tensor input, boolean inplace)
static Tensor	torch.selu(Tensor input, SELUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.selu /** about the exact behavior of this functional.
static Tensor	torch.sgn_out(Tensor out, Tensor self)
static Tensor	torch.sgn_outf(Tensor self, Tensor out)
static Tensor	torch.sgn(Tensor self)
static Tensor	torch.sigmoid_(Tensor self)
static Tensor	torch.sigmoid_backward_out(Tensor grad_input, Tensor grad_output, Tensor output)
static Tensor	torch.sigmoid_backward_outf(Tensor grad_output, Tensor output, Tensor grad_input)
static Tensor	torch.sigmoid_backward(Tensor grad_output, Tensor output)
static Tensor	torch.sigmoid_out(Tensor out, Tensor self)
static Tensor	torch.sigmoid_outf(Tensor self, Tensor out)
static Tensor	torch.sigmoid(Tensor self)
static Tensor	torch.sign_out(Tensor out, Tensor self)
static Tensor	torch.sign_outf(Tensor self, Tensor out)
static Tensor	torch.sign(Tensor self)
static Tensor	torch.signbit_out(Tensor out, Tensor self)
static Tensor	torch.signbit_outf(Tensor self, Tensor out)
static Tensor	torch.signbit(Tensor self)
static Tensor	torch.silu_(Tensor self)
static Tensor	torch.silu_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.silu_backward_outf(Tensor grad_output, Tensor self, Tensor grad_input)
static Tensor	torch.silu_backward(Tensor grad_output, Tensor self)
static Tensor	torch.silu_out(Tensor out, Tensor self)
static Tensor	torch.silu_outf(Tensor self, Tensor out)
static Tensor	torch.silu(Tensor self)
static Tensor	torch.sin_(Tensor self)
static Tensor	torch.sin_out(Tensor out, Tensor self)
static Tensor	torch.sin_outf(Tensor self, Tensor out)
static Tensor	torch.sin(Tensor self)
static Tensor	torch.sinc_(Tensor self)
static Tensor	torch.sinc_out(Tensor out, Tensor self)
static Tensor	torch.sinc_outf(Tensor self, Tensor out)
static Tensor	torch.sinc(Tensor self)
static Tensor	torch.sinh_(Tensor self)
static Tensor	torch.sinh_out(Tensor out, Tensor self)
static Tensor	torch.sinh_outf(Tensor self, Tensor out)
static Tensor	torch.sinh(Tensor self)
static Tensor	torch.slice_backward(Tensor grad_output, long[] input_sizes, long dim, long start, long end, long step)
static Tensor	torch.slice_backward(Tensor grad_output, LongArrayRef input_sizes, long dim, long start, long end, long step)
static Tensor	torch.slice(Tensor self)
static Tensor	torch.slice(Tensor self, long dim, LongOptional start, LongOptional end, long step)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.slow_conv3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor out)
static Tensor	torch.slow_conv3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.smm(Tensor self, Tensor mat2)
static Tensor	torch.smooth_l1_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, double beta, Tensor grad_input)
static Tensor	torch.smooth_l1_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.smooth_l1_loss_out(Tensor out, Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss_outf(Tensor self, Tensor target, long reduction, double beta, Tensor out)
static Tensor	torch.smooth_l1_loss(Tensor self, Tensor target)
static Tensor	torch.smooth_l1_loss(Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.smooth_l1_loss(Tensor input, Tensor target, loss_reduction_t reduction, double beta)
static Tensor	torch.smooth_l1_loss(Tensor input, Tensor target, SmoothL1LossOptions options, double beta) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.smooth_l1_loss /** about the exact behavior of this functional.
static Tensor	torch.soft_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor grad_input)
static Tensor	torch.soft_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.soft_margin_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.soft_margin_loss(Tensor self, Tensor target)
static Tensor	torch.soft_margin_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.soft_margin_loss(Tensor input, Tensor target, SoftMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.soft_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.softmax(Tensor self, Dimname dim)
static Tensor	torch.softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.softmax(Tensor self, long dim)
static Tensor	torch.softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.softmax(Tensor input, SoftmaxFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softmax /** about the exact behavior of this functional.
static Tensor	torch.softmin(Tensor input, long dim, ScalarTypeOptional dtype)
static Tensor	torch.softmin(Tensor input, SoftminFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softmin /** about the exact behavior of this functional.
static Tensor	torch.softplus_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output)
static Tensor	torch.softplus_backward_outf(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output, Tensor grad_input)
static Tensor	torch.softplus_backward(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output)
static Tensor	torch.softplus_out(Tensor out, Tensor self)
static Tensor	torch.softplus_out(Tensor out, Tensor self, Scalar beta, Scalar threshold)
static Tensor	torch.softplus_outf(Tensor self, Scalar beta, Scalar threshold, Tensor out)
static Tensor	torch.softplus(Tensor self)
static Tensor	torch.softplus(Tensor input, double beta, double threshold)
static Tensor	torch.softplus(Tensor self, Scalar beta, Scalar threshold)
static Tensor	torch.softplus(Tensor input, SoftplusOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softplus /** about the exact behavior of this functional.
static Tensor	torch.softshrink_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar lambd)
static Tensor	torch.softshrink_backward_outf(Tensor grad_output, Tensor self, Scalar lambd, Tensor grad_input)
static Tensor	torch.softshrink_backward(Tensor grad_output, Tensor self, Scalar lambd)
static Tensor	torch.softshrink_out(Tensor out, Tensor self)
static Tensor	torch.softshrink_out(Tensor out, Tensor self, Scalar lambd)
static Tensor	torch.softshrink_outf(Tensor self, Scalar lambd, Tensor out)
static Tensor	torch.softshrink(Tensor self)
static Tensor	torch.softshrink(Tensor input, double lambda)
static Tensor	torch.softshrink(Tensor self, Scalar lambd)
static Tensor	torch.softshrink(Tensor input, SoftshrinkOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softshrink /** about the exact behavior of this functional.
static Tensor	torch.softsign(Tensor input)
static Tensor	torch.sparse_(Tensor tensor, double sparsity)
static Tensor	torch.sparse_(Tensor tensor, double sparsity, double std) Fills the 2D input Tensor as a sparse matrix, where the non-zero elements will be drawn from a centered normal distribution with the given standard deviation std, as described in "Deep learning via Hessian-free optimization" - Martens, J.
static Tensor	torch.sparse_coo_tensor(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(long[] size, TensorOptions options)
static Tensor	torch.sparse_coo_tensor(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(LongArrayRef size, TensorOptions options)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, long... size)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, LongArrayRef size)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, TensorOptions options)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, TensorOptions options)
static Tensor	torch.special_digamma_out(Tensor out, Tensor self)
static Tensor	torch.special_digamma_outf(Tensor self, Tensor out)
static Tensor	torch.special_digamma(Tensor self)
static Tensor	torch.special_entr_out(Tensor out, Tensor self)
static Tensor	torch.special_entr_outf(Tensor self, Tensor out)
static Tensor	torch.special_entr(Tensor self)
static Tensor	torch.special_erf_out(Tensor out, Tensor self)
static Tensor	torch.special_erf_outf(Tensor self, Tensor out)
static Tensor	torch.special_erf(Tensor self)
static Tensor	torch.special_erfc_out(Tensor out, Tensor self)
static Tensor	torch.special_erfc_outf(Tensor self, Tensor out)
static Tensor	torch.special_erfc(Tensor self)
static Tensor	torch.special_erfcx_out(Tensor out, Tensor self)
static Tensor	torch.special_erfcx_outf(Tensor self, Tensor out)
static Tensor	torch.special_erfcx(Tensor self)
static Tensor	torch.special_erfinv_out(Tensor out, Tensor self)
static Tensor	torch.special_erfinv_outf(Tensor self, Tensor out)
static Tensor	torch.special_erfinv(Tensor self)
static Tensor	torch.special_exp2_out(Tensor out, Tensor self)
static Tensor	torch.special_exp2_outf(Tensor self, Tensor out)
static Tensor	torch.special_exp2(Tensor self)
static Tensor	torch.special_expit_out(Tensor out, Tensor self)
static Tensor	torch.special_expit_outf(Tensor self, Tensor out)
static Tensor	torch.special_expit(Tensor self)
static Tensor	torch.special_expm1_out(Tensor out, Tensor self)
static Tensor	torch.special_expm1_outf(Tensor self, Tensor out)
static Tensor	torch.special_expm1(Tensor self)
static Tensor	torch.special_gammainc_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_gammainc_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_gammainc(Tensor self, Tensor other)
static Tensor	torch.special_gammaincc_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_gammaincc_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_gammaincc(Tensor self, Tensor other)
static Tensor	torch.special_gammaln_out(Tensor out, Tensor self)
static Tensor	torch.special_gammaln_outf(Tensor self, Tensor out)
static Tensor	torch.special_gammaln(Tensor self)
static Tensor	torch.special_i0_out(Tensor out, Tensor self)
static Tensor	torch.special_i0_outf(Tensor self, Tensor out)
static Tensor	torch.special_i0(Tensor self)
static Tensor	torch.special_i0e_out(Tensor out, Tensor self)
static Tensor	torch.special_i0e_outf(Tensor self, Tensor out)
static Tensor	torch.special_i0e(Tensor self)
static Tensor	torch.special_i1_out(Tensor out, Tensor self)
static Tensor	torch.special_i1_outf(Tensor self, Tensor out)
static Tensor	torch.special_i1(Tensor self)
static Tensor	torch.special_i1e_out(Tensor out, Tensor self)
static Tensor	torch.special_i1e_outf(Tensor self, Tensor out)
static Tensor	torch.special_i1e(Tensor self)
static Tensor	torch.special_log_softmax(Tensor self, long dim)
static Tensor	torch.special_log_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.special_log1p_out(Tensor out, Tensor self)
static Tensor	torch.special_log1p_outf(Tensor self, Tensor out)
static Tensor	torch.special_log1p(Tensor self)
static Tensor	torch.special_logit_out(Tensor out, Tensor self)
static Tensor	torch.special_logit_out(Tensor out, Tensor self, DoubleOptional eps)
static Tensor	torch.special_logit_outf(Tensor self, DoubleOptional eps, Tensor out)
static Tensor	torch.special_logit(Tensor self)
static Tensor	torch.special_logit(Tensor self, DoubleOptional eps)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.special_logsumexp_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.special_logsumexp_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.special_logsumexp(Tensor self, long... dim)
static Tensor	torch.special_logsumexp(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.special_logsumexp(Tensor self, LongArrayRef dim)
static Tensor	torch.special_logsumexp(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.special_multigammaln_out(Tensor out, Tensor self, long p)
static Tensor	torch.special_multigammaln_outf(Tensor self, long p, Tensor out)
static Tensor	torch.special_multigammaln(Tensor self, long p)
static Tensor	torch.special_ndtr_out(Tensor out, Tensor self)
static Tensor	torch.special_ndtr_outf(Tensor self, Tensor out)
static Tensor	torch.special_ndtr(Tensor self)
static Tensor	torch.special_ndtri_out(Tensor out, Tensor self)
static Tensor	torch.special_ndtri_outf(Tensor self, Tensor out)
static Tensor	torch.special_ndtri(Tensor self)
static Tensor	torch.special_polygamma_out(Tensor out, long n, Tensor self)
static Tensor	torch.special_polygamma_outf(long n, Tensor self, Tensor out)
static Tensor	torch.special_polygamma(long n, Tensor self)
static Tensor	torch.special_psi_out(Tensor out, Tensor self)
static Tensor	torch.special_psi_outf(Tensor self, Tensor out)
static Tensor	torch.special_psi(Tensor self)
static Tensor	torch.special_round_out(Tensor out, Tensor self)
static Tensor	torch.special_round_outf(Tensor self, Tensor out)
static Tensor	torch.special_round(Tensor self)
static Tensor	torch.special_sinc_out(Tensor out, Tensor self)
static Tensor	torch.special_sinc_outf(Tensor self, Tensor out)
static Tensor	torch.special_sinc(Tensor self)
static Tensor	torch.special_xlog1py_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.special_xlog1py_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.special_xlog1py_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_xlog1py_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.special_xlog1py_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.special_xlog1py_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_xlog1py(Scalar self, Tensor other)
static Tensor	torch.special_xlog1py(Tensor self, Scalar other)
static Tensor	torch.special_xlog1py(Tensor self, Tensor other)
static Tensor	torch.special_xlogy_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.special_xlogy_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.special_xlogy_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_xlogy_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.special_xlogy_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.special_xlogy_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_xlogy(Scalar self, Tensor other)
static Tensor	torch.special_xlogy(Tensor self, Scalar other)
static Tensor	torch.special_xlogy(Tensor self, Tensor other)
static Tensor	torch.special_zeta_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.special_zeta_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.special_zeta_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_zeta_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.special_zeta_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.special_zeta_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_zeta(Scalar self, Tensor other)
static Tensor	torch.special_zeta(Tensor self, Scalar other)
static Tensor	torch.special_zeta(Tensor self, Tensor other)
static Tensor	torch.sqrt_(Tensor self)
static Tensor	torch.sqrt_out(Tensor out, Tensor self)
static Tensor	torch.sqrt_outf(Tensor self, Tensor out)
static Tensor	torch.sqrt(Tensor self)
static Tensor	torch.square_(Tensor self)
static Tensor	torch.square_out(Tensor out, Tensor self)
static Tensor	torch.square_outf(Tensor self, Tensor out)
static Tensor	torch.square(Tensor self)
static Tensor	torch.squeeze(Tensor self)
static Tensor	torch.squeeze(Tensor self, Dimname dim)
static Tensor	torch.squeeze(Tensor self, long dim)
static Tensor	torch.sspaddmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.sspaddmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.sspaddmm_outf(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.sspaddmm(Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.sspaddmm(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.stack_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch.stack_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch.stack(TensorArrayRef tensors)
static Tensor	torch.stack(TensorArrayRef tensors, long dim)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.std_out(Tensor out, Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.std_outf(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, long[] dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.std(Tensor self)
static Tensor	torch.std(Tensor self, boolean unbiased)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.std(Tensor self, int dim)
static Tensor	torch.std(Tensor self, long... dim)
static Tensor	torch.std(Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std(Tensor self, LongArrayRef dim)
static Tensor	torch.std(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std(Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.std(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.stft(Tensor self, long n_fft)
static Tensor	torch.stft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
static Tensor	torch.sub_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.sub_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.sub_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch.sub(Tensor self, Scalar other)
static Tensor	torch.sub(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.sub(Tensor self, Tensor other)
static Tensor	torch.sub(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.subtract_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.subtract_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.subtract_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch.subtract(Scalar x, Tensor y)
static Tensor	torch.subtract(Tensor self, Scalar other)
static Tensor	torch.subtract(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.subtract(Tensor self, Tensor other)
static Tensor	torch.subtract(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.sum_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.sum_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.sum_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.sum_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum_outf(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.sum_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.sum_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.sum_to(Tensor tensor, long... shape)
static Tensor	torch.sum_to(Tensor tensor, LongArrayRef shape)
static Tensor	torch.sum(Tensor self)
static Tensor	torch.sum(Tensor self, DimnameArrayRef dim)
static Tensor	torch.sum(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum(Tensor self, long... dim)
static Tensor	torch.sum(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum(Tensor self, LongArrayRef dim)
static Tensor	torch.sum(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum(Tensor self, ScalarTypeOptional dtype)
static Tensor	torch.swapaxes(Tensor self, long axis0, long axis1)
static Tensor	torch.swapdims(Tensor self, long dim0, long dim1)
static Tensor	torch.t(Tensor self)
static Tensor	torch.take_along_dim_out(Tensor out, Tensor self, Tensor indices)
static Tensor	torch.take_along_dim_out(Tensor out, Tensor self, Tensor indices, LongOptional dim)
static Tensor	torch.take_along_dim_outf(Tensor self, Tensor indices, LongOptional dim, Tensor out)
static Tensor	torch.take_along_dim(Tensor self, Tensor indices)
static Tensor	torch.take_along_dim(Tensor self, Tensor indices, LongOptional dim)
static Tensor	torch.take_out(Tensor out, Tensor self, Tensor index)
static Tensor	torch.take_outf(Tensor self, Tensor index, Tensor out)
static Tensor	torch.take(Tensor self, Tensor index)
static Tensor	torch.tan_(Tensor self)
static Tensor	torch.tan_out(Tensor out, Tensor self)
static Tensor	torch.tan_outf(Tensor self, Tensor out)
static Tensor	torch.tan(Tensor self)
static Tensor	torch.tanh_(Tensor self)
static Tensor	torch.tanh_backward_out(Tensor grad_input, Tensor grad_output, Tensor output)
static Tensor	torch.tanh_backward_outf(Tensor grad_output, Tensor output, Tensor grad_input)
static Tensor	torch.tanh_backward(Tensor grad_output, Tensor output)
static Tensor	torch.tanh_out(Tensor out, Tensor self)
static Tensor	torch.tanh_outf(Tensor self, Tensor out)
static Tensor	torch.tanh(Tensor self)
static Tensor	torch.tanhshrink(Tensor input)
static Tensor	torch.tensor(BFloat16 value)
static Tensor	torch.tensor(BFloat16ArrayRef values)
static Tensor	torch.tensor(BFloat16ArrayRef values, TensorOptions options)
static Tensor	torch.tensor(BFloat16 value, TensorOptions options)
static Tensor	torch.tensor(BoolArrayRef values)
static Tensor	torch.tensor(BoolArrayRef values, TensorOptions options)
static Tensor	torch.tensor(boolean value)
static Tensor	torch.tensor(boolean value, TensorOptions options)
static Tensor	torch.tensor(byte value)
static Tensor	torch.tensor(ByteArrayRef values)
static Tensor	torch.tensor(ByteArrayRef values, TensorOptions options)
static Tensor	torch.tensor(byte value, TensorOptions options)
static Tensor	torch.tensor(double value)
static Tensor	torch.tensor(DoubleArrayRef values)
static Tensor	torch.tensor(DoubleArrayRef values, TensorOptions options)
static Tensor	torch.tensor(DoubleComplexrrayRef values)
static Tensor	torch.tensor(DoubleComplexrrayRef values, TensorOptions options)
static Tensor	torch.tensor(double value, TensorOptions options)
static Tensor	torch.tensor(float value)
static Tensor	torch.tensor(FloatArrayRef values)
static Tensor	torch.tensor(FloatArrayRef values, TensorOptions options)
static Tensor	torch.tensor(FloatComplexrrayRef values)
static Tensor	torch.tensor(FloatComplexrrayRef values, TensorOptions options)
static Tensor	torch.tensor(float value, TensorOptions options)
static Tensor	torch.tensor(Half value)
static Tensor	torch.tensor(HalfArrayRef values)
static Tensor	torch.tensor(HalfArrayRef values, TensorOptions options)
static Tensor	torch.tensor(Half value, TensorOptions options)
static Tensor	torch.tensor(int value)
static Tensor	torch.tensor(IntArrayRef values)
static Tensor	torch.tensor(IntArrayRef values, TensorOptions options)
static Tensor	torch.tensor(int value, TensorOptions options)
static Tensor	torch.tensor(long... values)
static Tensor	torch.tensor(long value)
static Tensor	torch.tensor(long[] values, TensorOptions options)
static Tensor	torch.tensor(LongArrayRef values)
static Tensor	torch.tensor(LongArrayRef values, TensorOptions options)
static Tensor	torch.tensor(long value, TensorOptions options)
static Tensor	torch.tensor(Pointer tensor_data_container)
static Tensor	torch.tensor(Pointer tensor_data_container, TensorOptions options) NOTE: Currently torch::tensor(...) doesn't support mixed data types (i.e.
static Tensor	torch.tensor(short value)
static Tensor	torch.tensor(ShortArrayRef values)
static Tensor	torch.tensor(ShortArrayRef values, TensorOptions options)
static Tensor	torch.tensor(short value, TensorOptions options)
static Tensor	torch.tensordot_out(Tensor out, Tensor self, Tensor other, long[] dims_self, long... dims_other)
static Tensor	torch.tensordot_out(Tensor out, Tensor self, Tensor other, LongArrayRef dims_self, LongArrayRef dims_other)
static Tensor	torch.tensordot_outf(Tensor self, Tensor other, long[] dims_self, long[] dims_other, Tensor out)
static Tensor	torch.tensordot_outf(Tensor self, Tensor other, LongArrayRef dims_self, LongArrayRef dims_other, Tensor out)
static Tensor	torch.tensordot(Tensor self, Tensor other, long[] dims_self, long... dims_other)
static Tensor	torch.tensordot(Tensor self, Tensor other, LongArrayRef dims_self, LongArrayRef dims_other)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.thnn_conv2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor out)
static Tensor	torch.thnn_conv2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.threshold_(Tensor self, Scalar threshold, Scalar value)
static Tensor	torch.threshold_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar threshold)
static Tensor	torch.threshold_backward_outf(Tensor grad_output, Tensor self, Scalar threshold, Tensor grad_input)
static Tensor	torch.threshold_backward(Tensor grad_output, Tensor self, Scalar threshold)
static Tensor	torch.threshold_out(Tensor out, Tensor self, Scalar threshold, Scalar value)
static Tensor	torch.threshold_outf(Tensor self, Scalar threshold, Scalar value, Tensor out)
static Tensor	torch.threshold(Tensor input, double threshold, double value, boolean inplace)
static Tensor	torch.threshold(Tensor self, Scalar threshold, Scalar value)
static Tensor	torch.threshold(Tensor input, ThresholdOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.threshold /** about the exact behavior of this functional.
static Tensor	torch.tile(Tensor self, long... dims)
static Tensor	torch.tile(Tensor self, LongArrayRef dims)
static Tensor	torch.to_dense_backward(Tensor grad, Tensor input)
static Tensor	torch.to_mkldnn_backward(Tensor grad, Tensor input)
static Tensor	torch.trace_backward(Tensor grad, long... sizes)
static Tensor	torch.trace_backward(Tensor grad, LongArrayRef sizes)
static Tensor	torch.trace(Tensor self)
static Tensor	torch.transpose(Tensor self, Dimname dim0, Dimname dim1)
static Tensor	torch.transpose(Tensor self, long dim0, long dim1)
static Tensor	torch.trapezoid(Tensor y)
static Tensor	torch.trapezoid(Tensor y, Scalar dx, long dim)
static Tensor	torch.trapezoid(Tensor y, Tensor x)
static Tensor	torch.trapezoid(Tensor y, Tensor x, long dim)
static Tensor	torch.trapz(Tensor y)
static Tensor	torch.trapz(Tensor y, double dx, long dim)
static Tensor	torch.trapz(Tensor y, Tensor x)
static Tensor	torch.trapz(Tensor y, Tensor x, long dim)
static Tensor	torch.tril_indices(long row, long col)
static Tensor	torch.tril_indices(long row, long col, long offset, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.tril_indices(long row, long col, long offset, TensorOptions options)
static Tensor	torch.tril_out(Tensor out, Tensor self)
static Tensor	torch.tril_out(Tensor out, Tensor self, long diagonal)
static Tensor	torch.tril_outf(Tensor self, long diagonal, Tensor out)
static Tensor	torch.tril(Tensor self)
static Tensor	torch.tril(Tensor self, long diagonal)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, double margin, double p, double eps, boolean swap, long reduction)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, double margin, double p, double eps, boolean swap, loss_reduction_t reduction)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, TripletMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.triplet_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.triplet_margin_with_distance_loss(Tensor anchor, Tensor positive, Tensor negative)
static Tensor	torch.triplet_margin_with_distance_loss(Tensor anchor, Tensor positive, Tensor negative, Pointer distance_function, double margin, boolean swap, loss_reduction_t reduction)
static Tensor	torch.triplet_margin_with_distance_loss(Tensor anchor, Tensor positive, Tensor negative, TripletMarginWithDistanceLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.triplet_margin_with_distance_loss /** about the exact behavior of this functional.
static Tensor	torch.triu_indices(long row, long col)
static Tensor	torch.triu_indices(long row, long col, long offset, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.triu_indices(long row, long col, long offset, TensorOptions options)
static Tensor	torch.triu_out(Tensor out, Tensor self)
static Tensor	torch.triu_out(Tensor out, Tensor self, long diagonal)
static Tensor	torch.triu_outf(Tensor self, long diagonal, Tensor out)
static Tensor	torch.triu(Tensor self)
static Tensor	torch.triu(Tensor self, long diagonal)
static Tensor	torch.true_divide_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.true_divide_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.true_divide(Tensor self, Scalar other)
static Tensor	torch.true_divide(Tensor self, Tensor other)
static Tensor	torch.trunc_(Tensor self)
static Tensor	torch.trunc_out(Tensor out, Tensor self)
static Tensor	torch.trunc_outf(Tensor self, Tensor out)
static Tensor	torch.trunc(Tensor self)
static Tensor	torch.unfold_backward(Tensor grad_in, long[] input_sizes, long dim, long size, long step)
static Tensor	torch.unfold_backward(Tensor grad_in, LongArrayRef input_sizes, long dim, long size, long step)
static Tensor	torch.unfold(Tensor input, LongPointer kernel_size, LongPointer dilation, LongPointer padding, LongPointer stride)
static Tensor	torch.unfold(Tensor input, UnfoldOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.unfold /** about the exact behavior of this functional.
static Tensor	torch.uniform_(Tensor tensor)
static Tensor	torch.uniform_(Tensor tensor, double low, double high) Fills the given 2-dimensional matrix with values drawn from a uniform distribution parameterized by low and high.
static Tensor	torch.unsafeTensorFromTH(Pointer th_pointer, boolean retain)
static Tensor	torch.unsqueeze(Tensor self, long dim)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bicubic2d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bicubic2d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bicubic2d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bilinear2d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bilinear2d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bilinear2d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_linear1d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_linear1d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_linear1d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_nearest1d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, long[] output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, LongArrayRef output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_outf(Tensor self, long[] output_size, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_nearest1d_outf(Tensor self, LongArrayRef output_size, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_nearest1d(Tensor self, long... output_size)
static Tensor	torch.upsample_nearest1d(Tensor self, long[] output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d(Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest1d(Tensor self, LongArrayRef output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d(Tensor input, LongArrayRefOptional output_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest2d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, long[] output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, LongArrayRef output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_outf(Tensor self, long[] output_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest2d_outf(Tensor self, LongArrayRef output_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest2d(Tensor self, long... output_size)
static Tensor	torch.upsample_nearest2d(Tensor self, long[] output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d(Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest2d(Tensor self, LongArrayRef output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d(Tensor input, LongArrayRefOptional output_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest3d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, long[] output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, LongArrayRef output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_outf(Tensor self, long[] output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest3d_outf(Tensor self, LongArrayRef output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest3d(Tensor self, long... output_size)
static Tensor	torch.upsample_nearest3d(Tensor self, long[] output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d(Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest3d(Tensor self, LongArrayRef output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d(Tensor input, LongArrayRefOptional output_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_trilinear3d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_trilinear3d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_trilinear3d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.value_selecting_reduction_backward(Tensor grad, long dim, Tensor indices, long[] sizes, boolean keepdim)
static Tensor	torch.value_selecting_reduction_backward(Tensor grad, long dim, Tensor indices, LongArrayRef sizes, boolean keepdim)
static Tensor	torch.vander(Tensor x)
static Tensor	torch.vander(Tensor x, LongOptional N, boolean increasing)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.var_out(Tensor out, Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.var_outf(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, long[] dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.var(Tensor self)
static Tensor	torch.var(Tensor self, boolean unbiased)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.var(Tensor self, int dim)
static Tensor	torch.var(Tensor self, long... dim)
static Tensor	torch.var(Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var(Tensor self, LongArrayRef dim)
static Tensor	torch.var(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var(Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.var(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.vdot_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.vdot_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.vdot(Tensor self, Tensor other)
static Tensor	torch.view_as_complex(Tensor self)
static Tensor	torch.view_as_real(Tensor self)
static Tensor	torch.vstack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.vstack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.vstack(TensorArrayRef tensors)
static Tensor	torch.where(Tensor condition, Scalar self, Scalar other)
static Tensor	torch.where(Tensor condition, Scalar self, Tensor other)
static Tensor	torch.where(Tensor condition, Tensor self, Scalar other)
static Tensor	torch.where(Tensor condition, Tensor self, Tensor other)
static Tensor	torch.wrapped_scalar_tensor(Scalar scalar)
static Tensor	torch.wrapped_scalar_tensor(Scalar scalar, Device device)
static Tensor	torch.xavier_normal_(Tensor tensor)
static Tensor	torch.xavier_normal_(Tensor tensor, double gain) Fills the input Tensor with values according to the method described in "Understanding the difficulty of training deep feedforward neural networks" - Glorot, X.
static Tensor	torch.xavier_uniform_(Tensor tensor)
static Tensor	torch.xavier_uniform_(Tensor tensor, double gain) Fills the input Tensor with values according to the method described in "Understanding the difficulty of training deep feedforward neural networks" - Glorot, X.
static Tensor	torch.xlogy_(Tensor self, Scalar other)
static Tensor	torch.xlogy_(Tensor self, Tensor other)
static Tensor	torch.xlogy_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.xlogy_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.xlogy_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.xlogy_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.xlogy_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.xlogy_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.xlogy(Scalar self, Tensor other)
static Tensor	torch.xlogy(Tensor self, Scalar other)
static Tensor	torch.xlogy(Tensor self, Tensor other)
static Tensor	torch.xor(Scalar x, Tensor y)
static Tensor	torch.xor(Tensor x, Scalar y)
static Tensor	torch.xor(Tensor x, Tensor y)
static Tensor	torch.zero_(Tensor self)
static Tensor	torch.zeros_(Tensor tensor) Fills the given tensor with zeros.
static Tensor	torch.zeros_like(Tensor self)
static Tensor	torch.zeros_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.zeros_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.zeros_out(Tensor out, long... size)
static Tensor	torch.zeros_out(Tensor out, LongArrayRef size)
static Tensor	torch.zeros_outf(long[] size, Tensor out)
static Tensor	torch.zeros_outf(LongArrayRef size, Tensor out)
static Tensor	torch.zeros(long... size)
static Tensor	torch.zeros(long[] size, DimnameListOptional names)
static Tensor	torch.zeros(long[] size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.zeros(long[] size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.zeros(long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.zeros(long[] size, TensorOptions options)
static Tensor	torch.zeros(LongArrayRef size)
static Tensor	torch.zeros(LongArrayRef size, DimnameListOptional names)
static Tensor	torch.zeros(LongArrayRef size, DimnameListOptional names, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.zeros(LongArrayRef size, DimnameListOptional names, TensorOptions options)
static Tensor	torch.zeros(LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.zeros(LongArrayRef size, TensorOptions options)

Methods in org.bytedeco.pytorch.global that return types with arguments of type Tensor

Modifier and Type	Method and Description
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long... dilation)
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, Tensor grad_input, Tensor grad_weight)
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor grad_input, Tensor grad_weight)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_out(Tensor output, Tensor finput, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_out(Tensor output, Tensor finput, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor output, Tensor finput)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor output, Tensor finput)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_out(Tensor out, Tensor indices, Tensor self, long... output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_out(Tensor out, Tensor indices, Tensor self, LongArrayRef output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_outf(Tensor self, long[] output_size, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_outf(Tensor self, LongArrayRef output_size, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_out(Tensor out, Tensor indices, Tensor self, long... output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_out(Tensor out, Tensor indices, Tensor self, LongArrayRef output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_outf(Tensor self, long[] output_size, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_outf(Tensor self, LongArrayRef output_size, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.aminmax_out(Tensor min, Tensor max, Tensor self)
static PointerPointer<Tensor>	torch.aminmax_out(Tensor min, Tensor max, Tensor self, LongOptional dim, boolean keepdim)
static PointerPointer<Tensor>	torch.aminmax_outf(Tensor self, LongOptional dim, boolean keepdim, Tensor min, Tensor max)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long... dilation)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.cummax_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.cummax_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.cummax_outf(Tensor self, Dimname dim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.cummax_outf(Tensor self, long dim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.cummin_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.cummin_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.cummin_outf(Tensor self, Dimname dim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.cummin_outf(Tensor self, long dim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.eig_out(Tensor e, Tensor v, Tensor self)
static PointerPointer<Tensor>	torch.eig_out(Tensor e, Tensor v, Tensor self, boolean eigenvectors)
static PointerPointer<Tensor>	torch.eig_outf(Tensor self, boolean eigenvectors, Tensor e, Tensor v)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_out(Tensor output, Tensor indices, Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_out(Tensor output, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_outf(Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples, Tensor output, Tensor indices)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples, Tensor output, Tensor indices)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_out(Tensor output, Tensor indices, Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_out(Tensor output, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_outf(Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples, Tensor output, Tensor indices)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples, Tensor output, Tensor indices)
static PointerPointer<Tensor>	torch.frexp_out(Tensor mantissa, Tensor exponent, Tensor self)
static PointerPointer<Tensor>	torch.frexp_outf(Tensor self, Tensor mantissa, Tensor exponent)
static PointerPointer<Tensor>	torch.geqrf_out(Tensor a, Tensor tau, Tensor self)
static PointerPointer<Tensor>	torch.geqrf_outf(Tensor self, Tensor a, Tensor tau)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, Tensor bins)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, Tensor bins, TensorOptional weight, boolean density)
static PointerPointer<Tensor>	torch.histogram_outf(Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density, Tensor hist, Tensor bin_edges)
static PointerPointer<Tensor>	torch.histogram_outf(Tensor self, Tensor bins, TensorOptional weight, boolean density, Tensor hist, Tensor bin_edges)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k, Dimname dim)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.kthvalue_outf(Tensor self, long k, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.kthvalue_outf(Tensor self, long k, long dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.linalg_cholesky_ex_out(Tensor L, Tensor info, Tensor self)
static PointerPointer<Tensor>	torch.linalg_cholesky_ex_out(Tensor L, Tensor info, Tensor self, boolean upper, boolean check_errors)
static PointerPointer<Tensor>	torch.linalg_cholesky_ex_outf(Tensor self, boolean upper, boolean check_errors, Tensor L, Tensor info)
static PointerPointer<Tensor>	torch.linalg_eig_out(Tensor eigenvalues, Tensor eigenvectors, Tensor self)
static PointerPointer<Tensor>	torch.linalg_eig_outf(Tensor self, Tensor eigenvalues, Tensor eigenvectors)
static PointerPointer<Tensor>	torch.linalg_eigh_out(Tensor eigvals, Tensor eigvecs, Tensor self)
static PointerPointer<Tensor>	torch.linalg_eigh_out(Tensor eigvals, Tensor eigvecs, Tensor self, Pointer UPLO)
static PointerPointer<Tensor>	torch.linalg_eigh_outf(Tensor self, Pointer UPLO, Tensor eigvals, Tensor eigvecs)
static PointerPointer<Tensor>	torch.linalg_inv_ex_out(Tensor inverse, Tensor info, Tensor self)
static PointerPointer<Tensor>	torch.linalg_inv_ex_out(Tensor inverse, Tensor info, Tensor self, boolean check_errors)
static PointerPointer<Tensor>	torch.linalg_inv_ex_outf(Tensor self, boolean check_errors, Tensor inverse, Tensor info)
static PointerPointer<Tensor>	torch.linalg_lstsq_out(Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values, Tensor self, Tensor b)
static PointerPointer<Tensor>	torch.linalg_lstsq_out(Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values, Tensor self, Tensor b, DoubleOptional rcond, Pointer driver)
static PointerPointer<Tensor>	torch.linalg_lstsq_outf(Tensor self, Tensor b, DoubleOptional rcond, Pointer driver, Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values)
static PointerPointer<Tensor>	torch.linalg_qr_out(Tensor Q, Tensor R, Tensor self)
static PointerPointer<Tensor>	torch.linalg_qr_out(Tensor Q, Tensor R, Tensor self, Pointer mode)
static PointerPointer<Tensor>	torch.linalg_qr_outf(Tensor self, Pointer mode, Tensor Q, Tensor R)
static PointerPointer<Tensor>	torch.linalg_slogdet_out(Tensor sign, Tensor logabsdet, Tensor self)
static PointerPointer<Tensor>	torch.linalg_slogdet_outf(Tensor self, Tensor sign, Tensor logabsdet)
static PointerPointer<Tensor>	torch.linalg_svd_out(Tensor U, Tensor S, Tensor Vh, Tensor self)
static PointerPointer<Tensor>	torch.linalg_svd_out(Tensor U, Tensor S, Tensor Vh, Tensor self, boolean full_matrices)
static PointerPointer<Tensor>	torch.linalg_svd_outf(Tensor self, boolean full_matrices, Tensor U, Tensor S, Tensor Vh)
static PointerPointer<Tensor>	torch.log_sigmoid_forward_out(Tensor output, Tensor buffer, Tensor self)
static PointerPointer<Tensor>	torch.log_sigmoid_forward_outf(Tensor self, Tensor output, Tensor buffer)
static PointerPointer<Tensor>	torch.lstsq_out(Tensor X, Tensor qr, Tensor self, Tensor A)
static PointerPointer<Tensor>	torch.lstsq_outf(Tensor self, Tensor A, Tensor X, Tensor qr)
static PointerPointer<Tensor>	torch.lu_unpack_out(Tensor P, Tensor L, Tensor U, Tensor LU_data, Tensor LU_pivots)
static PointerPointer<Tensor>	torch.lu_unpack_out(Tensor P, Tensor L, Tensor U, Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots)
static PointerPointer<Tensor>	torch.lu_unpack_outf(Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots, Tensor P, Tensor L, Tensor U)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, long dim)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.max_outf(Tensor self, Dimname dim, boolean keepdim, Tensor max, Tensor max_values)
static PointerPointer<Tensor>	torch.max_outf(Tensor self, long dim, boolean keepdim, Tensor max, Tensor max_values)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, long... kernel_size)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, long... kernel_size)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.median_outf(Tensor self, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.median_outf(Tensor self, long dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.min_outf(Tensor self, Dimname dim, boolean keepdim, Tensor min, Tensor min_indices)
static PointerPointer<Tensor>	torch.min_outf(Tensor self, long dim, boolean keepdim, Tensor min, Tensor min_indices)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.mode_outf(Tensor self, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.mode_outf(Tensor self, long dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.multilabel_margin_loss_forward_out(Tensor output, Tensor is_target, Tensor self, Tensor target, long reduction)
static PointerPointer<Tensor>	torch.multilabel_margin_loss_forward_outf(Tensor self, Tensor target, long reduction, Tensor output, Tensor is_target)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.nanmedian_outf(Tensor self, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.nanmedian_outf(Tensor self, long dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.native_batch_norm_out(Tensor out, Tensor save_mean, Tensor save_invstd, Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps)
static PointerPointer<Tensor>	torch.native_batch_norm_outf(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps, Tensor out, Tensor save_mean, Tensor save_invstd)
static PointerPointer<Tensor>	torch.nll_loss_forward_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static PointerPointer<Tensor>	torch.nll_loss_forward_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor output, Tensor total_weight)
static PointerPointer<Tensor>	torch.nll_loss2d_forward_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static PointerPointer<Tensor>	torch.nll_loss2d_forward_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor output, Tensor total_weight)
static PointerPointer<Tensor>	torch.qr_out(Tensor Q, Tensor R, Tensor self)
static PointerPointer<Tensor>	torch.qr_out(Tensor Q, Tensor R, Tensor self, boolean some)
static PointerPointer<Tensor>	torch.qr_outf(Tensor self, boolean some, Tensor Q, Tensor R)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor columns, Tensor ones)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor columns, Tensor ones)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor columns, Tensor ones, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor columns, Tensor ones, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_out(Tensor output, Tensor finput, Tensor fgrad_input, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_out(Tensor output, Tensor finput, Tensor fgrad_input, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor output, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor output, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.solve_out(Tensor solution, Tensor lu, Tensor self, Tensor A)
static PointerPointer<Tensor>	torch.solve_outf(Tensor self, Tensor A, Tensor solution, Tensor lu)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable, Dimname dim)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable, Dimname dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable, long dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, long dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, BoolOptional stable, Dimname dim, boolean descending, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, BoolOptional stable, long dim, boolean descending, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, Dimname dim, boolean descending, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, long dim, boolean descending, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.svd_out(Tensor U, Tensor S, Tensor V, Tensor self)
static PointerPointer<Tensor>	torch.svd_out(Tensor U, Tensor S, Tensor V, Tensor self, boolean some, boolean compute_uv)
static PointerPointer<Tensor>	torch.svd_outf(Tensor self, boolean some, boolean compute_uv, Tensor U, Tensor S, Tensor V)
static PointerPointer<Tensor>	torch.symeig_out(Tensor e, Tensor V, Tensor self)
static PointerPointer<Tensor>	torch.symeig_out(Tensor e, Tensor V, Tensor self, boolean eigenvectors, boolean upper)
static PointerPointer<Tensor>	torch.symeig_outf(Tensor self, boolean eigenvectors, boolean upper, Tensor e, Tensor V)
static PointerPointer<Tensor>	torch.topk_out(Tensor values, Tensor indices, Tensor self, long k)
static PointerPointer<Tensor>	torch.topk_out(Tensor values, Tensor indices, Tensor self, long k, long dim, boolean largest, boolean sorted)
static PointerPointer<Tensor>	torch.topk_outf(Tensor self, long k, long dim, boolean largest, boolean sorted, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.triangular_solve_out(Tensor X, Tensor M, Tensor self, Tensor A)
static PointerPointer<Tensor>	torch.triangular_solve_out(Tensor X, Tensor M, Tensor self, Tensor A, boolean upper, boolean transpose, boolean unitriangular)
static PointerPointer<Tensor>	torch.triangular_solve_outf(Tensor self, Tensor A, boolean upper, boolean transpose, boolean unitriangular, Tensor X, Tensor M)

Methods in org.bytedeco.pytorch.global with parameters of type Tensor

Modifier and Type	Method and Description
static Tensor	torch.__and__(Tensor self, Scalar other)
static Tensor	torch.__and__(Tensor self, Tensor other)
static Tensor	torch.__dispatch_conj(Tensor self)
static boolean	torch.__dispatch_is_complex(Tensor self)
static boolean	torch.__dispatch_is_conj(Tensor self)
static boolean	torch.__dispatch_is_floating_point(Tensor self)
static boolean	torch.__dispatch_is_inference(Tensor self)
static boolean	torch.__dispatch_is_neg(Tensor self)
static boolean	torch.__dispatch_is_signed(Tensor self)
static long	torch.__dispatch_size(Tensor self, long dim)
static long	torch.__dispatch_stride(Tensor self, long dim)
static Tensor	torch.__lshift__(Tensor self, Scalar other)
static Tensor	torch.__lshift__(Tensor self, Tensor other)
static Tensor	torch.__or__(Tensor self, Scalar other)
static Tensor	torch.__or__(Tensor self, Tensor other)
static Tensor	torch.__rshift__(Tensor self, Scalar other)
static Tensor	torch.__rshift__(Tensor self, Tensor other)
static Tensor	torch.__xor__(Tensor self, Scalar other)
static Tensor	torch.__xor__(Tensor self, Tensor other)
static Tensor	torch._adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self)
static Tensor	torch._adaptive_avg_pool2d(Tensor self, long... output_size)
static Tensor	torch._adaptive_avg_pool2d(Tensor self, LongArrayRef output_size)
static Tensor	torch._adaptive_avg_pool3d_backward(Tensor grad_output, Tensor self)
static Tensor	torch._adaptive_avg_pool3d(Tensor self, long... output_size)
static Tensor	torch._adaptive_avg_pool3d(Tensor self, LongArrayRef output_size)
static Tensor	torch._add_batch_dim(Tensor self, long batch_dim, long level)
static Tensor	torch._add_relu_(Tensor self, Scalar other)
static Tensor	torch._add_relu_(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch._add_relu_(Tensor self, Tensor other)
static Tensor	torch._add_relu_(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch._add_relu_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch._add_relu_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch._add_relu_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch._add_relu(Tensor self, Scalar other)
static Tensor	torch._add_relu(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch._add_relu(Tensor self, Tensor other)
static Tensor	torch._add_relu(Tensor self, Tensor other, Scalar alpha)
static TensorTensorTuple	torch._aminmax(Tensor self)
static TensorTensorTuple	torch._aminmax(Tensor self, long dim)
static TensorTensorTuple	torch._aminmax(Tensor self, long dim, boolean keepdim)
static void	torch._amp_foreach_non_finite_check_and_unscale_(TensorArrayRef self, Tensor found_inf, Tensor inv_scale)
static Tensor	torch._amp_update_scale_(Tensor self, Tensor growth_tracker, Tensor found_inf, double scale_growth_factor, double scale_backoff_factor, long growth_interval)
static void	torch._assert_async(Tensor self)
static Tensor	torch._baddbmm_mkl_(Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch._baddbmm_mkl_(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static TensorTensorTensorTuple	torch._batch_norm_impl_index_backward(long impl_index, Tensor input, Tensor grad_output, TensorOptional weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var_transform, boolean train, double eps, BoolPointer output_mask, Tensor reservedSpace)
static TensorTensorTensorTensorLongTuple	torch._batch_norm_impl_index(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps, boolean cudnn_enabled)
static LongPointer	torch._calculate_fan_in_and_fan_out(Tensor tensor)
static Tensor	torch._cast_Byte(Tensor self)
static Tensor	torch._cast_Byte(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Char(Tensor self)
static Tensor	torch._cast_Char(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Double(Tensor self)
static Tensor	torch._cast_Double(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Float(Tensor self)
static Tensor	torch._cast_Float(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Half(Tensor self)
static Tensor	torch._cast_Half(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Int(Tensor self)
static Tensor	torch._cast_Int(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Long(Tensor self)
static Tensor	torch._cast_Long(Tensor self, boolean non_blocking)
static Tensor	torch._cast_Short(Tensor self)
static Tensor	torch._cast_Short(Tensor self, boolean non_blocking)
static Tensor	torch._cat_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch._cat_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch._cat_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch._cdist_backward(Tensor grad, Tensor x1, Tensor x2, double p, Tensor cdist)
static Tensor	torch._cdist_forward(Tensor x1, Tensor x2, double p, LongOptional compute_mode)
static LongOptional	torch._check_param_device(Tensor param, LongOptional old_param_device)
static Tensor	torch._cholesky_solve_helper(Tensor self, Tensor A, boolean upper)
static LongPointer	torch._choose_qparams_per_tensor(Tensor self)
static LongPointer	torch._choose_qparams_per_tensor(Tensor self, boolean reduce_range)
static Tensor	torch._coalesce(Tensor self)
static Tensor	torch._compute_linear_combination_out(Tensor out, Tensor input, Tensor coefficients)
static Tensor	torch._compute_linear_combination_outf(Tensor input, Tensor coefficients, Tensor out)
static Tensor	torch._compute_linear_combination(Tensor input, Tensor coefficients)
static Tensor	torch._conj_physical(Tensor self)
static Tensor	torch._conj(Tensor self)
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long... dilation)
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, Tensor grad_input, Tensor grad_weight)
static PointerPointer<Tensor>	torch._conv_depthwise2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor grad_input, Tensor grad_weight)
static TensorTensorTuple	torch._conv_depthwise2d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, BoolPointer output_mask)
static TensorTensorTuple	torch._conv_depthwise2d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, BoolPointer output_mask)
static Tensor	torch._conv_depthwise2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch._conv_depthwise2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch._conv_depthwise2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] dilation, Tensor out)
static Tensor	torch._conv_depthwise2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor out)
static Tensor	torch._conv_depthwise2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch._conv_depthwise2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static Tensor	torch._convert_indices_from_coo_to_csr_out(Tensor out, Tensor self, long size)
static Tensor	torch._convert_indices_from_coo_to_csr_out(Tensor out, Tensor self, long size, boolean out_int32)
static Tensor	torch._convert_indices_from_coo_to_csr_outf(Tensor self, long size, boolean out_int32, Tensor out)
static Tensor	torch._convert_indices_from_coo_to_csr(Tensor self, long size)
static Tensor	torch._convert_indices_from_coo_to_csr(Tensor self, long size, boolean out_int32)
static TensorTensorTensorTuple	torch._convolution_double_backward(TensorOptional ggI, TensorOptional ggW, TensorOptional ggb, Tensor gO, Tensor weight, Tensor self, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled, boolean allow_tf32, BoolPointer output_mask)
static TensorTensorTensorTuple	torch._convolution_double_backward(TensorOptional ggI, TensorOptional ggW, TensorOptional ggb, Tensor gO, Tensor weight, Tensor self, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled, boolean allow_tf32, BoolPointer output_mask)
static Tensor	torch._convolution_mode(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch._convolution_mode(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static Tensor	torch._convolution_nogroup(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long... output_padding)
static Tensor	torch._convolution_nogroup(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled, boolean allow_tf32)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled)
static Tensor	torch._convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, boolean benchmark, boolean deterministic, boolean cudnn_enabled, boolean allow_tf32)
static Tensor	torch._copy_from_and_resize(Tensor self, Tensor dst)
static Tensor	torch._copy_from(Tensor self, Tensor dst)
static Tensor	torch._copy_from(Tensor self, Tensor dst, boolean non_blocking)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank, boolean zero_infinity)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank)
static Tensor	torch._ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, long blank, boolean zero_infinity)
static TensorTensorTuple	torch._ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long... target_lengths)
static TensorTensorTuple	torch._ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, long blank, boolean zero_infinity)
static TensorTensorTuple	torch._ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths)
static TensorTensorTuple	torch._ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, long blank, boolean zero_infinity)
static TensorTensorTuple	torch._cudnn_ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, long blank, boolean deterministic, boolean zero_infinity)
static TensorTensorTuple	torch._cudnn_ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, long blank, boolean deterministic, boolean zero_infinity)
static TensorTensorTensorTensorVectorTuple	torch._cudnn_rnn_backward(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long proj_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static TensorTensorTensorTensorVectorTuple	torch._cudnn_rnn_backward(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long proj_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static TensorTensorTensorTensorTensorTuple	torch._cudnn_rnn(Tensor input, TensorArrayRef weight, long weight_stride0, TensorOptional weight_buf, Tensor hx, TensorOptional cx, long mode, long hidden_size, long proj_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state)
static TensorTensorTensorTensorTensorTuple	torch._cudnn_rnn(Tensor input, TensorArrayRef weight, long weight_stride0, TensorOptional weight_buf, Tensor hx, TensorOptional cx, long mode, long hidden_size, long proj_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state)
static void	torch._cummax_helper(Tensor self, Tensor values, Tensor indices, long dim)
static void	torch._cummin_helper(Tensor self, Tensor values, Tensor indices, long dim)
static long	torch._debug_has_internal_overlap(Tensor self)
static Tensor	torch._det_lu_based_helper_backward_helper(Tensor det_grad, Tensor det, Tensor self, Tensor lu, Tensor pivs)
static TensorTensorTensorTuple	torch._det_lu_based_helper(Tensor self)
static Tensor	torch._dim_arange(Tensor like, long dim)
static Tensor	torch._dirichlet_grad(Tensor x, Tensor alpha, Tensor total)
static Tensor	torch._embedding_bag_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights)
static Tensor	torch._embedding_bag_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, long padding_idx)
static Tensor	torch._embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights)
static Tensor	torch._embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights, long padding_idx)
static TensorTensorTensorTensorTuple	torch._embedding_bag_forward_only(Tensor weight, Tensor indices, Tensor offsets)
static TensorTensorTensorTensorTuple	torch._embedding_bag_forward_only(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset, long padding_idx)
static Tensor	torch._embedding_bag_per_sample_weights_backward(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, long mode)
static Tensor	torch._embedding_bag_per_sample_weights_backward(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, long mode, long padding_idx)
static Tensor	torch._embedding_bag_sparse_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights)
static Tensor	torch._embedding_bag_sparse_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, long num_weights, boolean scale_grad_by_freq, long mode, TensorOptional per_sample_weights, long padding_idx)
static TensorTensorTensorTensorTuple	torch._embedding_bag(Tensor weight, Tensor indices, Tensor offsets)
static TensorTensorTensorTensorTuple	torch._embedding_bag(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset, long padding_idx)
static Tensor	torch._empty_per_channel_affine_quantized(long[] size, Tensor scales, Tensor zero_points, long axis)
static Tensor	torch._empty_per_channel_affine_quantized(long[] size, Tensor scales, Tensor zero_points, long axis, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch._empty_per_channel_affine_quantized(long[] size, Tensor scales, Tensor zero_points, long axis, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch._empty_per_channel_affine_quantized(LongArrayRef size, Tensor scales, Tensor zero_points, long axis)
static Tensor	torch._empty_per_channel_affine_quantized(LongArrayRef size, Tensor scales, Tensor zero_points, long axis, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch._empty_per_channel_affine_quantized(LongArrayRef size, Tensor scales, Tensor zero_points, long axis, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch._euclidean_dist(Tensor x1, Tensor x2)
static TensorTensorTensorTuple	torch._fake_quantize_learnable_per_channel_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max)
static TensorTensorTensorTuple	torch._fake_quantize_learnable_per_channel_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max, double grad_factor)
static Tensor	torch._fake_quantize_learnable_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max)
static Tensor	torch._fake_quantize_learnable_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max, double grad_factor)
static TensorTensorTensorTuple	torch._fake_quantize_learnable_per_tensor_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max)
static TensorTensorTensorTuple	torch._fake_quantize_learnable_per_tensor_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max, double grad_factor)
static Tensor	torch._fake_quantize_learnable_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max)
static Tensor	torch._fake_quantize_learnable_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max, double grad_factor)
static TensorTensorTuple	torch._fake_quantize_per_tensor_affine_cachemask_tensor_qparams(Tensor self, Tensor scale, Tensor zero_point, Tensor fake_quant_enabled, long quant_min, long quant_max)
static Tensor	torch._fft_c2c_out(Tensor out, Tensor self, long[] dim, long normalization, boolean forward)
static Tensor	torch._fft_c2c_out(Tensor out, Tensor self, LongArrayRef dim, long normalization, boolean forward)
static Tensor	torch._fft_c2c_outf(Tensor self, long[] dim, long normalization, boolean forward, Tensor out)
static Tensor	torch._fft_c2c_outf(Tensor self, LongArrayRef dim, long normalization, boolean forward, Tensor out)
static Tensor	torch._fft_c2c(Tensor self, long[] dim, long normalization, boolean forward)
static Tensor	torch._fft_c2c(Tensor self, LongArrayRef dim, long normalization, boolean forward)
static Tensor	torch._fft_c2r_out(Tensor out, Tensor self, long[] dim, long normalization, long last_dim_size)
static Tensor	torch._fft_c2r_out(Tensor out, Tensor self, LongArrayRef dim, long normalization, long last_dim_size)
static Tensor	torch._fft_c2r_outf(Tensor self, long[] dim, long normalization, long last_dim_size, Tensor out)
static Tensor	torch._fft_c2r_outf(Tensor self, LongArrayRef dim, long normalization, long last_dim_size, Tensor out)
static Tensor	torch._fft_c2r(Tensor self, long[] dim, long normalization, long last_dim_size)
static Tensor	torch._fft_c2r(Tensor self, LongArrayRef dim, long normalization, long last_dim_size)
static Tensor	torch._fft_r2c_out(Tensor out, Tensor self, long[] dim, long normalization, boolean onesided)
static Tensor	torch._fft_r2c_out(Tensor out, Tensor self, LongArrayRef dim, long normalization, boolean onesided)
static Tensor	torch._fft_r2c_outf(Tensor self, long[] dim, long normalization, boolean onesided, Tensor out)
static Tensor	torch._fft_r2c_outf(Tensor self, LongArrayRef dim, long normalization, boolean onesided, Tensor out)
static Tensor	torch._fft_r2c(Tensor self, long[] dim, long normalization, boolean onesided)
static Tensor	torch._fft_r2c(Tensor self, LongArrayRef dim, long normalization, boolean onesided)
static TensorTensorTuple	torch._fused_dropout(Tensor self, double p)
static TensorTensorTuple	torch._fused_dropout(Tensor self, double p, GeneratorOptional generator)
static TensorTensorTuple	torch._fused_moving_avg_obs_fq_helper(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor running_min, Tensor running_max, Tensor scale, Tensor zero_point, double averaging_const, long quant_min, long quant_max, long ch_axis)
static TensorTensorTuple	torch._fused_moving_avg_obs_fq_helper(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor running_min, Tensor running_max, Tensor scale, Tensor zero_point, double averaging_const, long quant_min, long quant_max, long ch_axis, boolean per_row_fake_quant, boolean symmetric_quant)
static Tensor	torch._gather_sparse_backward(Tensor self, long dim, Tensor index, Tensor grad)
static TensorTensorTuple	torch._grid_sampler_2d_cpu_fallback_backward(Tensor grad_output, Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch._grid_sampler_2d_cpu_fallback(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static boolean	torch._has_compatible_shallow_copy_type(Tensor self, Tensor from)
static Tensor	torch._index_copy_(Tensor self, long dim, Tensor index, Tensor source)
static Tensor	torch._inverse_helper(Tensor self)
static Tensor	torch._linalg_inv_out_helper_(Tensor self, Tensor infos_lu, Tensor infos_getri)
static TensorTensorTuple	torch._linalg_qr_helper(Tensor self, Pointer mode)
static Scalar	torch._local_scalar_dense(Tensor self)
static Tensor	torch._log_softmax_backward_data_out(Tensor out, Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._log_softmax_backward_data_outf(Tensor grad_output, Tensor output, long dim, Tensor self, Tensor out)
static Tensor	torch._log_softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._log_softmax_out(Tensor out, Tensor self, long dim, boolean half_to_float)
static Tensor	torch._log_softmax_outf(Tensor self, long dim, boolean half_to_float, Tensor out)
static Tensor	torch._log_softmax(Tensor self, long dim, boolean half_to_float)
static Tensor	torch._logcumsumexp_out(Tensor out, Tensor self, long dim)
static Tensor	torch._logcumsumexp_outf(Tensor self, long dim, Tensor out)
static Tensor	torch._logcumsumexp(Tensor self, long dim)
static TensorTensorTensorTuple	torch._lu_with_info(Tensor self)
static TensorTensorTensorTuple	torch._lu_with_info(Tensor self, boolean pivot, boolean check_errors)
static Tensor	torch._make_dual(Tensor primal, Tensor tangent, long level)
static Tensor	torch._make_per_channel_quantized_tensor(Tensor self, Tensor scale, Tensor zero_point, long axis)
static Tensor	torch._make_per_tensor_quantized_tensor(Tensor self, double scale, long zero_point)
static Tensor	torch._masked_scale(Tensor self, Tensor mask, double scale)
static Tensor	torch._mkldnn_reshape(Tensor self, long... shape)
static Tensor	torch._mkldnn_reshape(Tensor self, LongArrayRef shape)
static Tensor	torch._mkldnn_transpose_(Tensor self, long dim0, long dim1)
static Tensor	torch._mkldnn_transpose(Tensor self, long dim0, long dim1)
static Tensor	torch._narrow_with_range(Tensor input, long dim, long start, long end)
static Tensor	torch._neg_view(Tensor self)
static Tensor	torch._nnpack_spatial_convolution_backward_input(Tensor input, Tensor grad_output, Tensor weight, long... padding)
static Tensor	torch._nnpack_spatial_convolution_backward_input(Tensor input, Tensor grad_output, Tensor weight, LongArrayRef padding)
static Tensor	torch._nnpack_spatial_convolution_backward_weight(Tensor input, long[] weightsize, Tensor grad_output, long... padding)
static Tensor	torch._nnpack_spatial_convolution_backward_weight(Tensor input, LongArrayRef weightsize, Tensor grad_output, LongArrayRef padding)
static TensorTensorTensorTuple	torch._nnpack_spatial_convolution_backward(Tensor input, Tensor grad_output, Tensor weight, long[] padding, BoolPointer output_mask)
static TensorTensorTensorTuple	torch._nnpack_spatial_convolution_backward(Tensor input, Tensor grad_output, Tensor weight, LongArrayRef padding, BoolPointer output_mask)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, long... padding)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, long[] padding, long... stride)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef padding)
static Tensor	torch._nnpack_spatial_convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride)
static void	torch._no_grad_embedding_renorm_(Tensor weight, Tensor input, float max_norm, float norm_type)
static Tensor	torch._pack_padded_sequence_backward(Tensor grad, long[] input_size, Tensor batch_sizes, boolean batch_first)
static Tensor	torch._pack_padded_sequence_backward(Tensor grad, LongArrayRef input_size, Tensor batch_sizes, boolean batch_first)
static TensorTensorTuple	torch._pack_padded_sequence(Tensor input, Tensor lengths, boolean batch_first)
static Tensor	torch._pad_circular(Tensor input, long... padding)
static Tensor	torch._pad_circular(Tensor input, LongArrayRef padding)
static TensorTensorTuple	torch._pad_packed_sequence(Tensor data, Tensor batch_sizes, boolean batch_first, Scalar padding_value, long total_length)
static Tensor	torch._pdist_backward(Tensor grad, Tensor self, double p, Tensor pdist)
static Tensor	torch._pdist_forward(Tensor self)
static Tensor	torch._pdist_forward(Tensor self, double p)
static Tensor	torch._pin_memory(Tensor self)
static Tensor	torch._pin_memory(Tensor self, DeviceOptional device)
static Tensor	torch._remove_batch_dim(Tensor self, long level, long batch_size, long out_dim)
static Tensor	torch._reshape_alias(Tensor self, long[] size, long... stride)
static Tensor	torch._reshape_alias(Tensor self, LongArrayRef size, LongArrayRef stride)
static Tensor	torch._reshape_from_tensor(Tensor self, Tensor shape)
static TensorTensorTuple	torch._rowwise_prune(Tensor weight, Tensor mask, torch.ScalarType compressed_indices_dtype)
static Tensor	torch._s_where(Tensor condition, Tensor self, Tensor other)
static Tensor	torch._sample_dirichlet(Tensor self)
static Tensor	torch._sample_dirichlet(Tensor self, GeneratorOptional generator)
static Tensor	torch._saturate_weight_to_fp16(Tensor weight)
static Tensor	torch._segment_reduce_backward(Tensor grad, Tensor output, Tensor data, Pointer reduce)
static Tensor	torch._segment_reduce_backward(Tensor grad, Tensor output, Tensor data, Pointer reduce, TensorOptional lengths, long axis)
static Tensor	torch._shape_as_tensor(Tensor self)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch._slow_conv2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static TensorTensorTensorTuple	torch._slow_conv2d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, BoolPointer output_mask)
static TensorTensorTensorTuple	torch._slow_conv2d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, BoolPointer output_mask)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_out(Tensor output, Tensor finput, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_out(Tensor output, Tensor finput, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor output, Tensor finput)
static PointerPointer<Tensor>	torch._slow_conv2d_forward_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor output, Tensor finput)
static TensorTensorTuple	torch._slow_conv2d_forward(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static TensorTensorTuple	torch._slow_conv2d_forward(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch._smooth_l1_loss(Tensor input, Tensor target)
static Tensor	torch._smooth_l1_loss(Tensor input, Tensor target, double beta)
static TensorTensorTuple	torch._sobol_engine_draw(Tensor quasi, long n, Tensor sobolstate, long dimension, long num_generated, ScalarTypeOptional dtype)
static Tensor	torch._sobol_engine_ff_(Tensor self, long n, Tensor sobolstate, long dimension, long num_generated)
static Tensor	torch._sobol_engine_initialize_state_(Tensor self, long dimension)
static Tensor	torch._sobol_engine_scramble_(Tensor self, Tensor ltm, long dimension)
static Tensor	torch._softmax_backward_data_out(Tensor grad_input, Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._softmax_backward_data_outf(Tensor grad_output, Tensor output, long dim, Tensor self, Tensor grad_input)
static Tensor	torch._softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._softmax_out(Tensor out, Tensor self, long dim, boolean half_to_float)
static Tensor	torch._softmax_outf(Tensor self, long dim, boolean half_to_float, Tensor out)
static Tensor	torch._softmax(Tensor self, long dim, boolean half_to_float)
static TensorTensorTuple	torch._solve_helper(Tensor self, Tensor A)
static Tensor	torch._sparse_addmm(Tensor self, Tensor sparse, Tensor dense)
static Tensor	torch._sparse_addmm(Tensor self, Tensor sparse, Tensor dense, Scalar beta, Scalar alpha)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, long... size)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, LongArrayRef size)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_unsafe(Tensor indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, long[] size, Tensor indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, long[] size, Tensor indices, Tensor values, TensorOptions options)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, LongArrayRef size, Tensor indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_coo_tensor_with_dims_and_tensors(long sparse_dim, long dense_dim, LongArrayRef size, Tensor indices, Tensor values, TensorOptions options)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, long... size)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch._sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch._sparse_log_softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._sparse_log_softmax(Tensor self, Dimname dim)
static Tensor	torch._sparse_log_softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_log_softmax(Tensor self, long dim)
static Tensor	torch._sparse_log_softmax(Tensor self, long dim, boolean half_to_float)
static Tensor	torch._sparse_log_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_mask_helper(Tensor t, Tensor mask_indices)
static Tensor	torch._sparse_mm(Tensor sparse, Tensor dense)
static Tensor	torch._sparse_softmax_backward_data(Tensor grad_output, Tensor output, long dim, Tensor self)
static Tensor	torch._sparse_softmax(Tensor self, Dimname dim)
static Tensor	torch._sparse_softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_softmax(Tensor self, long dim)
static Tensor	torch._sparse_softmax(Tensor self, long dim, boolean half_to_float)
static Tensor	torch._sparse_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch._sparse_sparse_matmul(Tensor self, Tensor other)
static Tensor	torch._sparse_sum_backward(Tensor grad, Tensor self, long... dim)
static Tensor	torch._sparse_sum_backward(Tensor grad, Tensor self, LongArrayRef dim)
static Tensor	torch._sparse_sum(Tensor self)
static Tensor	torch._sparse_sum(Tensor self, long... dim)
static Tensor	torch._sparse_sum(Tensor self, long[] dim, torch.ScalarType dtype)
static Tensor	torch._sparse_sum(Tensor self, LongArrayRef dim)
static Tensor	torch._sparse_sum(Tensor self, LongArrayRef dim, torch.ScalarType dtype)
static Tensor	torch._sparse_sum(Tensor self, torch.ScalarType dtype)
static Tensor	torch._stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch._stack_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch._stack_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch._standard_gamma_grad(Tensor self, Tensor output)
static Tensor	torch._standard_gamma(Tensor self)
static Tensor	torch._standard_gamma(Tensor self, GeneratorOptional generator)
static TensorTensorTensorTuple	torch._svd_helper(Tensor self, boolean some, boolean compute_uv)
static TensorTensorTuple	torch._symeig_helper(Tensor self, boolean eigenvectors, boolean upper)
static TensorTensorTensorTensorTensorTuple	torch._thnn_differentiable_gru_cell_backward(Tensor grad_hy, Tensor input_gates, Tensor hidden_gates, Tensor hx, TensorOptional input_bias, TensorOptional hidden_bias)
static TensorTensorTensorTensorTensorTuple	torch._thnn_differentiable_lstm_cell_backward(TensorOptional grad_hy, TensorOptional grad_cy, Tensor input_gates, Tensor hidden_gates, TensorOptional input_bias, TensorOptional hidden_bias, Tensor cx, Tensor cy)
static TensorTensorTensorTensorTensorTuple	torch._thnn_fused_gru_cell_backward(Tensor grad_hy, Tensor workspace, boolean has_bias)
static TensorTensorTuple	torch._thnn_fused_gru_cell(Tensor input_gates, Tensor hidden_gates, Tensor hx)
static TensorTensorTuple	torch._thnn_fused_gru_cell(Tensor input_gates, Tensor hidden_gates, Tensor hx, TensorOptional input_bias, TensorOptional hidden_bias)
static TensorTensorTensorTensorTensorTuple	torch._thnn_fused_lstm_cell_backward(TensorOptional grad_hy, TensorOptional grad_cy, Tensor cx, Tensor cy, Tensor workspace, boolean has_bias)
static TensorTensorTensorTuple	torch._thnn_fused_lstm_cell(Tensor input_gates, Tensor hidden_gates, Tensor cx)
static TensorTensorTensorTuple	torch._thnn_fused_lstm_cell(Tensor input_gates, Tensor hidden_gates, Tensor cx, TensorOptional input_bias, TensorOptional hidden_bias)
static Tensor	torch._to_copy(Tensor self)
static Tensor	torch._to_copy(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, boolean non_blocking, MemoryFormatOptional memory_format)
static Tensor	torch._to_copy(Tensor self, TensorOptions options, boolean non_blocking, MemoryFormatOptional memory_format)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, long[] expand1, long[] expand2, long[] expand3, long... sumdim)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, long[] expand1, long[] expand2, long[] expand3, long[] sumdim, long unroll_dim)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, LongArrayRef expand1, LongArrayRef expand2, LongArrayRef expand3, LongArrayRef sumdim)
static Tensor	torch._trilinear(Tensor i1, Tensor i2, Tensor i3, LongArrayRef expand1, LongArrayRef expand2, LongArrayRef expand3, LongArrayRef sumdim, long unroll_dim)
static TensorTensorTuple	torch._unique(Tensor self)
static TensorTensorTuple	torch._unique(Tensor self, boolean sorted, boolean return_inverse)
static TensorTensorTensorTuple	torch._unique2(Tensor self)
static TensorTensorTensorTuple	torch._unique2(Tensor self, boolean sorted, boolean return_inverse, boolean return_counts)
static TensorTensorTuple	torch._unpack_dual(Tensor dual, long level)
static LongVector	torch._unpool_output_size(Tensor input, long[] kernel_size, long[] stride, long[] padding, LongVectorOptional output_size)
static LongVector	torch._unpool_output_size(Tensor input, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongVectorOptional output_size)
static Tensor	torch._unsafe_view(Tensor self, long... size)
static Tensor	torch._unsafe_view(Tensor self, LongArrayRef size)
static boolean	torch._use_cudnn_ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, long blank)
static boolean	torch._use_cudnn_ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, long blank)
static void	torch._validate_sparse_coo_tensor_args(Tensor indices, Tensor values, long... size)
static void	torch._validate_sparse_coo_tensor_args(Tensor indices, Tensor values, LongArrayRef size)
static void	torch._validate_sparse_csr_tensor_args(Tensor crow_indices, Tensor col_indices, Tensor values, long... size)
static void	torch._validate_sparse_csr_tensor_args(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size)
static TensorTensorTuple	torch._weight_norm_cuda_interface_backward(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, long dim)
static TensorTensorTuple	torch._weight_norm_cuda_interface(Tensor v, Tensor g)
static TensorTensorTuple	torch._weight_norm_cuda_interface(Tensor v, Tensor g, long dim)
static TensorTensorTuple	torch._weight_norm_differentiable_backward(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, long dim)
static Tensor	torch._weight_norm(Tensor v, Tensor g)
static Tensor	torch._weight_norm(Tensor v, Tensor g, long dim)
static Tensor	torch.abs_(Tensor self)
static Tensor	torch.abs_out(Tensor out, Tensor self)
static Tensor	torch.abs_outf(Tensor self, Tensor out)
static Tensor	torch.abs(Tensor self)
static Tensor	torch.absolute_out(Tensor out, Tensor self)
static Tensor	torch.absolute_outf(Tensor self, Tensor out)
static Tensor	torch.absolute(Tensor self)
static Tensor	torch.acos_(Tensor self)
static Tensor	torch.acos_out(Tensor out, Tensor self)
static Tensor	torch.acos_outf(Tensor self, Tensor out)
static Tensor	torch.acos(Tensor self)
static Tensor	torch.acosh_(Tensor self)
static Tensor	torch.acosh_out(Tensor out, Tensor self)
static Tensor	torch.acosh_outf(Tensor self, Tensor out)
static Tensor	torch.acosh(Tensor self)
static Tensor	torch.adaptive_avg_pool1d(Tensor input, AdaptiveAvgPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_avg_pool1d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_avg_pool1d(Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool1d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool1d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_avg_pool2d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool2d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool2d_outf(Tensor self, long[] output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool2d_outf(Tensor self, LongArrayRef output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool2d(Tensor input, AdaptiveAvgPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_avg_pool2d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_avg_pool2d(Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool2d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool2d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_avg_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.adaptive_avg_pool3d_backward_outf(Tensor grad_output, Tensor self, Tensor grad_input)
static Tensor	torch.adaptive_avg_pool3d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool3d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool3d_outf(Tensor self, long[] output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool3d_outf(Tensor self, LongArrayRef output_size, Tensor out)
static Tensor	torch.adaptive_avg_pool3d(Tensor input, AdaptiveAvgPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_avg_pool3d /** about the exact behavior of this functional.
static Tensor	torch.adaptive_avg_pool3d(Tensor self, long... output_size)
static Tensor	torch.adaptive_avg_pool3d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_avg_pool3d(Tensor input, LongPointer output_size)
static TensorTensorTuple	torch.adaptive_max_pool1d_with_indices(Tensor input, AdaptiveMaxPool1dOptions options) See the documentation for torch::nn::functional::AdaptiveMaxPool1dFuncOptions class to learn what optional arguments are supported for this functional.
static TensorTensorTuple	torch.adaptive_max_pool1d_with_indices(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool1d(Tensor input, AdaptiveMaxPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_max_pool1d /** about the exact behavior of this functional.
static TensorTensorTuple	torch.adaptive_max_pool1d(Tensor self, long... output_size)
static TensorTensorTuple	torch.adaptive_max_pool1d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_max_pool1d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices)
static Tensor	torch.adaptive_max_pool2d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, Tensor grad_input)
static Tensor	torch.adaptive_max_pool2d_backward(Tensor grad_output, Tensor self, Tensor indices)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_out(Tensor out, Tensor indices, Tensor self, long... output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_out(Tensor out, Tensor indices, Tensor self, LongArrayRef output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_outf(Tensor self, long[] output_size, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.adaptive_max_pool2d_outf(Tensor self, LongArrayRef output_size, Tensor out, Tensor indices)
static TensorTensorTuple	torch.adaptive_max_pool2d_with_indices(Tensor input, AdaptiveMaxPool2dOptions options) See the documentation for torch::nn::functional::AdaptiveMaxPool2dFuncOptions class to learn what /** optional arguments are supported for this functional.
static TensorTensorTuple	torch.adaptive_max_pool2d_with_indices(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool2d(Tensor input, AdaptiveMaxPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_max_pool2d /** about the exact behavior of this functional.
static TensorTensorTuple	torch.adaptive_max_pool2d(Tensor self, long... output_size)
static TensorTensorTuple	torch.adaptive_max_pool2d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_max_pool2d(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices)
static Tensor	torch.adaptive_max_pool3d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, Tensor grad_input)
static Tensor	torch.adaptive_max_pool3d_backward(Tensor grad_output, Tensor self, Tensor indices)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_out(Tensor out, Tensor indices, Tensor self, long... output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_out(Tensor out, Tensor indices, Tensor self, LongArrayRef output_size)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_outf(Tensor self, long[] output_size, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.adaptive_max_pool3d_outf(Tensor self, LongArrayRef output_size, Tensor out, Tensor indices)
static TensorTensorTuple	torch.adaptive_max_pool3d_with_indices(Tensor input, AdaptiveMaxPool3dOptions options) See the documentation for torch::nn::functional::AdaptiveMaxPool3dFuncOptions class to learn what /** optional arguments are supported for this functional.
static TensorTensorTuple	torch.adaptive_max_pool3d_with_indices(Tensor input, LongPointer output_size)
static Tensor	torch.adaptive_max_pool3d(Tensor input, AdaptiveMaxPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.adaptive_max_pool3d /** about the exact behavior of this functional.
static TensorTensorTuple	torch.adaptive_max_pool3d(Tensor self, long... output_size)
static TensorTensorTuple	torch.adaptive_max_pool3d(Tensor self, LongArrayRef output_size)
static Tensor	torch.adaptive_max_pool3d(Tensor input, LongPointer output_size)
static Tensor	torch.add_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.add_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.add_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch.add(Scalar x, Tensor y)
static Tensor	torch.add(Tensor self, Scalar other)
static Tensor	torch.add(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.add(Tensor self, Tensor other)
static Tensor	torch.add(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.addbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.addbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.addbmm_outf(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addbmm(Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.addbmm(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.addcdiv_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcdiv_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static Tensor	torch.addcdiv_outf(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value, Tensor out)
static Tensor	torch.addcdiv(Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcdiv(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static Tensor	torch.addcmul_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcmul_out(Tensor out, Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static Tensor	torch.addcmul_outf(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value, Tensor out)
static Tensor	torch.addcmul(Tensor self, Tensor tensor1, Tensor tensor2)
static Tensor	torch.addcmul(Tensor self, Tensor tensor1, Tensor tensor2, Scalar value)
static void	torch.addInputs(JitNode n, BytePointer name, Tensor value)
static void	torch.addInputs(JitNode n, String name, Tensor value)
static Tensor	torch.addmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.addmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.addmm_outf(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addmm(Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.addmm(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.addmv_(Tensor self, Tensor mat, Tensor vec)
static Tensor	torch.addmv_(Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
static Tensor	torch.addmv_out(Tensor out, Tensor self, Tensor mat, Tensor vec)
static Tensor	torch.addmv_out(Tensor out, Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
static Tensor	torch.addmv_outf(Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addmv(Tensor self, Tensor mat, Tensor vec)
static Tensor	torch.addmv(Tensor self, Tensor mat, Tensor vec, Scalar beta, Scalar alpha)
static void	torch.addOutput(JitNode node, Tensor tensor)
static Tensor	torch.addr_out(Tensor out, Tensor self, Tensor vec1, Tensor vec2)
static Tensor	torch.addr_out(Tensor out, Tensor self, Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
static Tensor	torch.addr_outf(Tensor self, Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.addr(Tensor self, Tensor vec1, Tensor vec2)
static Tensor	torch.addr(Tensor self, Tensor vec1, Tensor vec2, Scalar beta, Scalar alpha)
static Tensor	torch.affine_grid_generator_backward(Tensor grad, long[] size, boolean align_corners)
static Tensor	torch.affine_grid_generator_backward(Tensor grad, LongArrayRef size, boolean align_corners)
static Tensor	torch.affine_grid_generator(Tensor theta, long[] size, boolean align_corners)
static Tensor	torch.affine_grid_generator(Tensor theta, LongArrayRef size, boolean align_corners)
static Tensor	torch.affine_grid(Tensor theta, long... size)
static Tensor	torch.affine_grid(Tensor theta, long[] size, boolean align_corners)
static Tensor	torch.affine_grid(Tensor theta, LongArrayRef size)
static Tensor	torch.affine_grid(Tensor theta, LongArrayRef size, boolean align_corners)
static Tensor	torch.alias(Tensor self)
static Tensor	torch.all_out(Tensor out, Tensor self)
static Tensor	torch.all_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.all_out(Tensor out, Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.all_out(Tensor out, Tensor self, long dim)
static Tensor	torch.all_out(Tensor out, Tensor self, long dim, boolean keepdim)
static Tensor	torch.all_outf(Tensor self, Dimname dim, boolean keepdim, Tensor out)
static Tensor	torch.all_outf(Tensor self, long dim, boolean keepdim, Tensor out)
static Tensor	torch.all_outf(Tensor self, Tensor out)
static Tensor	torch.all(Tensor self)
static Tensor	torch.all(Tensor self, Dimname dim)
static Tensor	torch.all(Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.all(Tensor self, long dim)
static Tensor	torch.all(Tensor self, long dim, boolean keepdim)
static boolean	torch.allclose(Tensor self, Tensor other)
static boolean	torch.allclose(Tensor self, Tensor other, double rtol, double atol, boolean equal_nan)
static Tensor	torch.alpha_dropout_(Tensor self, double p, boolean train)
static Tensor	torch.alpha_dropout(Tensor input)
static Tensor	torch.alpha_dropout(Tensor input, AlphaDropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.alpha_dropout /** about the exact behavior of this functional.
static Tensor	torch.alpha_dropout(Tensor input, double p, boolean train)
static Tensor	torch.alpha_dropout(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.amax_out(Tensor out, Tensor self)
static Tensor	torch.amax_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amax_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.amax_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.amax_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.amax(Tensor self)
static Tensor	torch.amax(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amax(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.amin_out(Tensor out, Tensor self)
static Tensor	torch.amin_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amin_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.amin_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.amin_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.amin(Tensor self)
static Tensor	torch.amin(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.amin(Tensor self, LongArrayRef dim, boolean keepdim)
static PointerPointer<Tensor>	torch.aminmax_out(Tensor min, Tensor max, Tensor self)
static PointerPointer<Tensor>	torch.aminmax_out(Tensor min, Tensor max, Tensor self, LongOptional dim, boolean keepdim)
static PointerPointer<Tensor>	torch.aminmax_outf(Tensor self, LongOptional dim, boolean keepdim, Tensor min, Tensor max)
static TensorTensorTuple	torch.aminmax(Tensor self)
static TensorTensorTuple	torch.aminmax(Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.and(Scalar x, Tensor y)
static Tensor	torch.and(Tensor x, Scalar y)
static Tensor	torch.and(Tensor x, Tensor y)
static Tensor	torch.angle_out(Tensor out, Tensor self)
static Tensor	torch.angle_outf(Tensor self, Tensor out)
static Tensor	torch.angle(Tensor self)
static Tensor	torch.any_out(Tensor out, Tensor self)
static Tensor	torch.any_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.any_out(Tensor out, Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.any_out(Tensor out, Tensor self, long dim)
static Tensor	torch.any_out(Tensor out, Tensor self, long dim, boolean keepdim)
static Tensor	torch.any_outf(Tensor self, Dimname dim, boolean keepdim, Tensor out)
static Tensor	torch.any_outf(Tensor self, long dim, boolean keepdim, Tensor out)
static Tensor	torch.any_outf(Tensor self, Tensor out)
static Tensor	torch.any(Tensor self)
static Tensor	torch.any(Tensor self, Dimname dim)
static Tensor	torch.any(Tensor self, Dimname dim, boolean keepdim)
static Tensor	torch.any(Tensor self, long dim)
static Tensor	torch.any(Tensor self, long dim, boolean keepdim)
static Tensor	torch.applySelect(Tensor self, long dim, long index, long real_dim, Device self_device, long... self_sizes)
static Tensor	torch.applySelect(Tensor self, long dim, long index, long real_dim, Device self_device, LongArrayRef self_sizes)
static Tensor	torch.applySlice(Tensor self, long dim, long start, long stop, long step, boolean disable_slice_optimization, Device self_device, long... self_sizes)
static Tensor	torch.applySlice(Tensor self, long dim, long start, long stop, long step, boolean disable_slice_optimization, Device self_device, LongArrayRef self_sizes)
static Tensor	torch.applySlicing(Tensor self, TensorIndexArrayRef indices, TensorVector outIndices, boolean disable_slice_optimization, Device self_device, long... self_sizes)
static Tensor	torch.applySlicing(Tensor self, TensorIndexArrayRef indices, TensorVector outIndices, boolean disable_slice_optimization, Device self_device, LongArrayRef self_sizes)
static Tensor	torch.arange_out(Tensor out, Scalar end)
static Tensor	torch.arange_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.arange_out(Tensor out, Scalar start, Scalar end, Scalar step)
static Tensor	torch.arange_outf(Scalar start, Scalar end, Scalar step, Tensor out)
static Tensor	torch.arange_outf(Scalar end, Tensor out)
static Tensor	torch.arccos_(Tensor self)
static Tensor	torch.arccos_out(Tensor out, Tensor self)
static Tensor	torch.arccos_outf(Tensor self, Tensor out)
static Tensor	torch.arccos(Tensor self)
static Tensor	torch.arccosh_(Tensor self)
static Tensor	torch.arccosh_out(Tensor out, Tensor self)
static Tensor	torch.arccosh_outf(Tensor self, Tensor out)
static Tensor	torch.arccosh(Tensor self)
static Tensor	torch.arcsin_(Tensor self)
static Tensor	torch.arcsin_out(Tensor out, Tensor self)
static Tensor	torch.arcsin_outf(Tensor self, Tensor out)
static Tensor	torch.arcsin(Tensor self)
static Tensor	torch.arcsinh_(Tensor self)
static Tensor	torch.arcsinh_out(Tensor out, Tensor self)
static Tensor	torch.arcsinh_outf(Tensor self, Tensor out)
static Tensor	torch.arcsinh(Tensor self)
static Tensor	torch.arctan_(Tensor self)
static Tensor	torch.arctan_out(Tensor out, Tensor self)
static Tensor	torch.arctan_outf(Tensor self, Tensor out)
static Tensor	torch.arctan(Tensor self)
static Tensor	torch.arctanh_(Tensor self)
static Tensor	torch.arctanh_out(Tensor out, Tensor self)
static Tensor	torch.arctanh_outf(Tensor self, Tensor out)
static Tensor	torch.arctanh(Tensor self)
static Tensor	torch.argmax_out(Tensor out, Tensor self)
static Tensor	torch.argmax_out(Tensor out, Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argmax_outf(Tensor self, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.argmax(Tensor self)
static Tensor	torch.argmax(Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argmin_out(Tensor out, Tensor self)
static Tensor	torch.argmin_out(Tensor out, Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argmin_outf(Tensor self, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.argmin(Tensor self)
static Tensor	torch.argmin(Tensor self, LongOptional dim, boolean keepdim)
static Tensor	torch.argsort(Tensor self)
static Tensor	torch.argsort(Tensor self, Dimname dim)
static Tensor	torch.argsort(Tensor self, Dimname dim, boolean descending)
static Tensor	torch.argsort(Tensor self, long dim, boolean descending)
static Tensor	torch.as_strided_(Tensor self, long[] size, long... stride)
static Tensor	torch.as_strided_(Tensor self, long[] size, long[] stride, LongOptional storage_offset)
static Tensor	torch.as_strided_(Tensor self, LongArrayRef size, LongArrayRef stride)
static Tensor	torch.as_strided_(Tensor self, LongArrayRef size, LongArrayRef stride, LongOptional storage_offset)
static Tensor	torch.as_strided(Tensor self, long[] size, long... stride)
static Tensor	torch.as_strided(Tensor self, long[] size, long[] stride, LongOptional storage_offset)
static Tensor	torch.as_strided(Tensor self, LongArrayRef size, LongArrayRef stride)
static Tensor	torch.as_strided(Tensor self, LongArrayRef size, LongArrayRef stride, LongOptional storage_offset)
static Tensor	torch.asin_(Tensor self)
static Tensor	torch.asin_out(Tensor out, Tensor self)
static Tensor	torch.asin_outf(Tensor self, Tensor out)
static Tensor	torch.asin(Tensor self)
static Tensor	torch.asinh_(Tensor self)
static Tensor	torch.asinh_out(Tensor out, Tensor self)
static Tensor	torch.asinh_outf(Tensor self, Tensor out)
static Tensor	torch.asinh(Tensor self)
static Tensor	torch.atan_(Tensor self)
static Tensor	torch.atan_out(Tensor out, Tensor self)
static Tensor	torch.atan_outf(Tensor self, Tensor out)
static Tensor	torch.atan(Tensor self)
static Tensor	torch.atan2_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.atan2_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.atan2(Tensor self, Tensor other)
static Tensor	torch.atanh_(Tensor self)
static Tensor	torch.atanh_out(Tensor out, Tensor self)
static Tensor	torch.atanh_outf(Tensor self, Tensor out)
static Tensor	torch.atanh(Tensor self)
static Tensor	torch.atleast_1d(Tensor self)
static Tensor	torch.atleast_2d(Tensor self)
static Tensor	torch.atleast_3d(Tensor self)
static Tensor	torch.avg_pool1d(Tensor input, AvgPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.avg_pool1d /** about the exact behavior of this functional.
static Tensor	torch.avg_pool1d(Tensor self, long... kernel_size)
static Tensor	torch.avg_pool1d(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad)
static Tensor	torch.avg_pool1d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool1d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad)
static Tensor	torch.avg_pool1d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, boolean ceil_mode, boolean count_include_pad)
static Tensor	torch.avg_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool2d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, long... kernel_size)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool2d_out(Tensor out, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool2d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool2d(Tensor input, AvgPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.avg_pool2d /** about the exact behavior of this functional.
static Tensor	torch.avg_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.avg_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool2d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor grad_input)
static Tensor	torch.avg_pool3d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, long... kernel_size)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool3d_out(Tensor out, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool3d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override, Tensor out)
static Tensor	torch.avg_pool3d(Tensor input, AvgPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.avg_pool3d /** about the exact behavior of this functional.
static Tensor	torch.avg_pool3d(Tensor self, long... kernel_size)
static Tensor	torch.avg_pool3d(Tensor self, long[] kernel_size, long[] stride, long[] padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.avg_pool3d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.avg_pool3d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, boolean ceil_mode, boolean count_include_pad, LongOptional divisor_override)
static Tensor	torch.baddbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.baddbmm_out(Tensor out, Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.baddbmm_outf(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.baddbmm(Tensor self, Tensor batch1, Tensor batch2)
static Tensor	torch.baddbmm(Tensor self, Tensor batch1, Tensor batch2, Scalar beta, Scalar alpha)
static Tensor	torch.batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count)
static TensorTensorTensorTensorTuple	torch.batch_norm_backward_reduce(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, boolean input_g, boolean weight_g, boolean bias_g)
static Tensor	torch.batch_norm_elemt_out(Tensor out, Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps)
static Tensor	torch.batch_norm_elemt_outf(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps, Tensor out)
static Tensor	torch.batch_norm_elemt(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor invstd, double eps)
static TensorTensorTuple	torch.batch_norm_gather_stats_with_counts(Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, Tensor counts)
static TensorTensorTuple	torch.batch_norm_gather_stats(Tensor input, Tensor mean, Tensor invstd, TensorOptional running_mean, TensorOptional running_var, double momentum, double eps, long count)
static TensorTensorTuple	torch.batch_norm_stats(Tensor input, double eps)
static TensorTensorTuple	torch.batch_norm_update_stats(Tensor input, TensorOptional running_mean, TensorOptional running_var, double momentum)
static Tensor	torch.batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps, boolean cudnn_enabled)
static Tensor	torch.batch_norm(Tensor input, Tensor running_mean, Tensor running_var)
static Tensor	torch.batch_norm(Tensor input, Tensor running_mean, Tensor running_var, BatchNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.batch_norm /** about the exact behavior of this functional.
static Tensor	torch.batch_norm(Tensor input, Tensor running_mean, Tensor running_var, Tensor weight, Tensor bias, boolean training, DoubleOptional momentum, double eps)
static Tensor	torch.bernoulli_out(Tensor out, Tensor self)
static Tensor	torch.bernoulli_out(Tensor out, Tensor self, GeneratorOptional generator)
static Tensor	torch.bernoulli_outf(Tensor self, GeneratorOptional generator, Tensor out)
static Tensor	torch.bernoulli(Tensor self)
static Tensor	torch.bernoulli(Tensor self, double p)
static Tensor	torch.bernoulli(Tensor self, double p, GeneratorOptional generator)
static Tensor	torch.bernoulli(Tensor self, GeneratorOptional generator)
static Tensor	torch.bilinear(Tensor input1, Tensor input2, Tensor weight)
static Tensor	torch.bilinear(Tensor input1, Tensor input2, Tensor weight, Tensor bias)
static Tensor	torch.bilinear(Tensor input1, Tensor input2, Tensor weight, TensorOptional bias)
static Tensor	torch.binary_cross_entropy_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, Tensor grad_input)
static Tensor	torch.binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.binary_cross_entropy_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, Tensor out)
static Tensor	torch.binary_cross_entropy_with_logits_backward(Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_with_logits_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, TensorOptional pos_weight, long reduction)
static Tensor	torch.binary_cross_entropy_with_logits(Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy_with_logits(Tensor input, Tensor target, BCEWithLogitsLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.binary_cross_entropy_with_logits /** about the exact behavior of this functional.
static Tensor	torch.binary_cross_entropy_with_logits(Tensor input, Tensor target, Tensor weight, loss_reduction_t reduction, Tensor pos_weight)
static Tensor	torch.binary_cross_entropy_with_logits(Tensor self, Tensor target, TensorOptional weight, TensorOptional pos_weight, long reduction)
static Tensor	torch.binary_cross_entropy(Tensor self, Tensor target)
static Tensor	torch.binary_cross_entropy(Tensor input, Tensor target, BCELossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.binary_cross_entropy /** about the exact behavior of this functional.
static Tensor	torch.binary_cross_entropy(Tensor input, Tensor target, Tensor weight, loss_reduction_t reduction)
static Tensor	torch.binary_cross_entropy(Tensor self, Tensor target, TensorOptional weight, long reduction)
static Tensor	torch.bincount(Tensor self)
static Tensor	torch.bincount(Tensor self, TensorOptional weights, long minlength)
static Tensor	torch.binomial(Tensor count, Tensor prob)
static Tensor	torch.binomial(Tensor count, Tensor prob, GeneratorOptional generator)
static Tensor	torch.bitwise_and_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_and_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_and_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_and_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_and(Tensor self, Scalar other)
static Tensor	torch.bitwise_and(Tensor self, Tensor other)
static Tensor	torch.bitwise_left_shift_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_left_shift_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_left_shift_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_left_shift_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_left_shift(Scalar self, Tensor other)
static Tensor	torch.bitwise_left_shift(Tensor self, Scalar other)
static Tensor	torch.bitwise_left_shift(Tensor self, Tensor other)
static Tensor	torch.bitwise_not_out(Tensor out, Tensor self)
static Tensor	torch.bitwise_not_outf(Tensor self, Tensor out)
static Tensor	torch.bitwise_not(Tensor self)
static Tensor	torch.bitwise_or_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_or_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_or_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_or_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_or(Tensor self, Scalar other)
static Tensor	torch.bitwise_or(Tensor self, Tensor other)
static Tensor	torch.bitwise_right_shift_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_right_shift_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_right_shift_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_right_shift_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_right_shift(Scalar self, Tensor other)
static Tensor	torch.bitwise_right_shift(Tensor self, Scalar other)
static Tensor	torch.bitwise_right_shift(Tensor self, Tensor other)
static Tensor	torch.bitwise_xor_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.bitwise_xor_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.bitwise_xor_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.bitwise_xor_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.bitwise_xor(Tensor self, Scalar other)
static Tensor	torch.bitwise_xor(Tensor self, Tensor other)
static Tensor	torch.bmm_out(Tensor out, Tensor self, Tensor mat2)
static Tensor	torch.bmm_outf(Tensor self, Tensor mat2, Tensor out)
static Tensor	torch.bmm(Tensor self, Tensor mat2)
static Tensor	torch.boolToIndexingTensor(Tensor self, boolean value, Device self_device)
static Tensor	torch.boolToIndexingTensorCPUOrCUDA(Tensor self, boolean value)
static Tensor	torch.boolToIndexingTensorNonNativeDeviceType(Tensor self, boolean value)
static DimnameVector	torch.broadcast_to_outnames(Tensor tensor, Tensor reference_tensor, BytePointer op_name)
static DimnameVector	torch.broadcast_to_outnames(Tensor tensor, Tensor reference_tensor, String op_name)
static Tensor	torch.broadcast_to(Tensor self, long... size)
static Tensor	torch.broadcast_to(Tensor self, LongArrayRef size)
static Tensor	torch.bucketize_out(Tensor out, Tensor self, Tensor boundaries)
static Tensor	torch.bucketize_out(Tensor out, Tensor self, Tensor boundaries, boolean out_int32, boolean right)
static Tensor	torch.bucketize_outf(Tensor self, Tensor boundaries, boolean out_int32, boolean right, Tensor out)
static Tensor	torch.bucketize(Scalar self, Tensor boundaries)
static Tensor	torch.bucketize(Scalar self, Tensor boundaries, boolean out_int32, boolean right)
static Tensor	torch.bucketize(Tensor self, Tensor boundaries)
static Tensor	torch.bucketize(Tensor self, Tensor boundaries, boolean out_int32, boolean right)
static void	torch.bump_version(Tensor arg0) Increments the version count of this Variable.
static Tensor	torch.cat_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.cat_out(Tensor out, TensorArrayRef tensors, Dimname dim)
static Tensor	torch.cat_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch.cat_outf(TensorArrayRef tensors, Dimname dim, Tensor out)
static Tensor	torch.cat_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch.cdist(Tensor x1, Tensor x2)
static Tensor	torch.cdist(Tensor x1, Tensor x2, double p, LongOptional compute_mode)
static Tensor	torch.ceil_(Tensor self)
static Tensor	torch.ceil_out(Tensor out, Tensor self)
static Tensor	torch.ceil_outf(Tensor self, Tensor out)
static Tensor	torch.ceil(Tensor self)
static Tensor	torch.celu_(Tensor self)
static Tensor	torch.celu_(Tensor self, Scalar alpha)
static Tensor	torch.celu(Tensor self)
static Tensor	torch.celu(Tensor input, CELUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.celu /** about the exact behavior of this functional.
static Tensor	torch.celu(Tensor input, double alpha, boolean inplace)
static Tensor	torch.celu(Tensor self, Scalar alpha)
static Tensor	torch.chain_matmul_out(Tensor out, TensorArrayRef matrices)
static Tensor	torch.chain_matmul_outf(TensorArrayRef matrices, Tensor out)
static Tensor	torch.channel_shuffle(Tensor self, long groups)
static void	torch.check_dim_size(Tensor tensor, long dim, long dim_size, long size)
static void	torch.checkDim(BytePointer c, Tensor tensor, BytePointer name, int pos, long dim)
static void	torch.checkDim(String c, Tensor tensor, String name, int pos, long dim)
static TensorImpl	torch.checked_dense_tensor_unwrap(Tensor expr, BytePointer name, int pos, BytePointer api, boolean allowNull, torch.DeviceType device_type, torch.ScalarType scalar_type)
static TensorImpl	torch.checked_dense_tensor_unwrap(Tensor expr, String name, int pos, String api, boolean allowNull, byte device_type, torch.ScalarType scalar_type)
static void	torch.checkLayout(BytePointer c, Tensor t, torch.Layout layout)
static void	torch.checkLayout(String c, Tensor t, byte layout)
static Tensor	torch.cholesky_inverse_out(Tensor out, Tensor self)
static Tensor	torch.cholesky_inverse_out(Tensor out, Tensor self, boolean upper)
static Tensor	torch.cholesky_inverse_outf(Tensor self, boolean upper, Tensor out)
static Tensor	torch.cholesky_inverse(Tensor self)
static Tensor	torch.cholesky_inverse(Tensor self, boolean upper)
static Tensor	torch.cholesky_out(Tensor out, Tensor self)
static Tensor	torch.cholesky_out(Tensor out, Tensor self, boolean upper)
static Tensor	torch.cholesky_outf(Tensor self, boolean upper, Tensor out)
static Tensor	torch.cholesky_solve_out(Tensor out, Tensor self, Tensor input2)
static Tensor	torch.cholesky_solve_out(Tensor out, Tensor self, Tensor input2, boolean upper)
static Tensor	torch.cholesky_solve_outf(Tensor self, Tensor input2, boolean upper, Tensor out)
static Tensor	torch.cholesky_solve(Tensor self, Tensor input2)
static Tensor	torch.cholesky_solve(Tensor self, Tensor input2, boolean upper)
static Tensor	torch.cholesky(Tensor self)
static Tensor	torch.cholesky(Tensor self, boolean upper)
static TensorTensorTuple	torch.choose_qparams_optimized(Tensor input, long numel, long n_bins, double ratio, long bit_width)
static TensorVector	torch.chunk(Tensor self, long chunks)
static TensorVector	torch.chunk(Tensor self, long chunks, long dim)
static Tensor	torch.clamp_(Tensor self)
static Tensor	torch.clamp_(Tensor self, ScalarOptional min)
static Tensor	torch.clamp_(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clamp_(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clamp_max_(Tensor self, Scalar max)
static Tensor	torch.clamp_max_(Tensor self, Tensor max)
static Tensor	torch.clamp_max_out(Tensor out, Tensor self, Scalar max)
static Tensor	torch.clamp_max_out(Tensor out, Tensor self, Tensor max)
static Tensor	torch.clamp_max_outf(Tensor self, Scalar max, Tensor out)
static Tensor	torch.clamp_max_outf(Tensor self, Tensor max, Tensor out)
static Tensor	torch.clamp_max(Tensor self, Scalar max)
static Tensor	torch.clamp_max(Tensor self, Tensor max)
static Tensor	torch.clamp_min_(Tensor self, Scalar min)
static Tensor	torch.clamp_min_(Tensor self, Tensor min)
static Tensor	torch.clamp_min_out(Tensor out, Tensor self, Scalar min)
static Tensor	torch.clamp_min_out(Tensor out, Tensor self, Tensor min)
static Tensor	torch.clamp_min_outf(Tensor self, Scalar min, Tensor out)
static Tensor	torch.clamp_min_outf(Tensor self, Tensor min, Tensor out)
static Tensor	torch.clamp_min(Tensor self, Scalar min)
static Tensor	torch.clamp_min(Tensor self, Tensor min)
static Tensor	torch.clamp_out(Tensor out, Tensor self)
static Tensor	torch.clamp_out(Tensor out, Tensor self, ScalarOptional min)
static Tensor	torch.clamp_out(Tensor out, Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clamp_out(Tensor out, Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clamp_outf(Tensor self, ScalarOptional min, ScalarOptional max, Tensor out)
static Tensor	torch.clamp_outf(Tensor self, TensorOptional min, TensorOptional max, Tensor out)
static Tensor	torch.clamp(Tensor self)
static Tensor	torch.clamp(Tensor self, ScalarOptional min)
static Tensor	torch.clamp(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clamp(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_(Tensor self)
static Tensor	torch.clip_(Tensor self, ScalarOptional min)
static Tensor	torch.clip_(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clip_(Tensor self, TensorOptional min, TensorOptional max)
static double	torch.clip_grad_norm_(Tensor parameter, double max_norm)
static double	torch.clip_grad_norm_(Tensor parameter, double max_norm, double norm_type, boolean error_if_nonfinite)
static void	torch.clip_grad_value_(Tensor parameter, double clip_value)
static Tensor	torch.clip_out(Tensor out, Tensor self)
static Tensor	torch.clip_out(Tensor out, Tensor self, ScalarOptional min)
static Tensor	torch.clip_out(Tensor out, Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clip_out(Tensor out, Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clip_outf(Tensor self, ScalarOptional min, ScalarOptional max, Tensor out)
static Tensor	torch.clip_outf(Tensor self, TensorOptional min, TensorOptional max, Tensor out)
static Tensor	torch.clip(Tensor self)
static Tensor	torch.clip(Tensor self, ScalarOptional min)
static Tensor	torch.clip(Tensor self, ScalarOptional min, ScalarOptional max)
static Tensor	torch.clip(Tensor self, TensorOptional min, TensorOptional max)
static Tensor	torch.clone(Tensor self)
static Tensor	torch.clone(Tensor self, MemoryFormatOptional memory_format)
static Tensor	torch.col2im_backward_out(Tensor grad_input, Tensor grad_output, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.col2im_backward_outf(Tensor grad_output, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor grad_input)
static Tensor	torch.col2im_backward_outf(Tensor grad_output, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor grad_input)
static Tensor	torch.col2im_backward(Tensor grad_output, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im_backward(Tensor grad_output, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.col2im_out(Tensor out, Tensor self, long[] output_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im_out(Tensor out, Tensor self, LongArrayRef output_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.col2im_outf(Tensor self, long[] output_size, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor out)
static Tensor	torch.col2im_outf(Tensor self, LongArrayRef output_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor out)
static Tensor	torch.col2im(Tensor self, long[] output_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.col2im(Tensor self, LongArrayRef output_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.column_stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.column_stack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.combinations(Tensor self)
static Tensor	torch.combinations(Tensor self, long r, boolean with_replacement)
static Tensor	torch.complex_out(Tensor out, Tensor real, Tensor imag)
static Tensor	torch.complex_outf(Tensor real, Tensor imag, Tensor out)
static DimnameVector	torch.compute_baddbmm_outnames(Tensor result, Tensor self, Tensor other, Tensor bias)
static DimnameVector	torch.compute_bmm_outnames(Tensor result, Tensor self, Tensor other)
static DimnameVector	torch.compute_broadcast_outnames(Tensor self, Tensor other)
static DimnameVector	torch.compute_cdist_outnames(Tensor self, Tensor other)
static DimnameVector	torch.compute_matmul_outnames(Tensor self, Tensor other)
static DimnameVector	torch.compute_squeeze_outnames(Tensor tensor)
static Tensor	torch.concat_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.concat_out(Tensor out, TensorArrayRef tensors, Dimname dim)
static Tensor	torch.concat_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch.concat_outf(TensorArrayRef tensors, Dimname dim, Tensor out)
static Tensor	torch.concat_outf(TensorArrayRef tensors, long dim, Tensor out)
static Tensor	torch.conj_physical_(Tensor self)
static Tensor	torch.conj_physical_out(Tensor out, Tensor self)
static Tensor	torch.conj_physical_outf(Tensor self, Tensor out)
static Tensor	torch.conj_physical(Tensor self)
static Tensor	torch.conj(Tensor tensor)
static Tensor	torch.constant_(Tensor tensor, Scalar value) Fills the given tensor with the provided value in-place, and returns it.
static Tensor	torch.constant_pad_nd(Tensor self, long... pad)
static Tensor	torch.constant_pad_nd(Tensor self, long[] pad, Scalar value)
static Tensor	torch.constant_pad_nd(Tensor self, LongArrayRef pad)
static Tensor	torch.constant_pad_nd(Tensor self, LongArrayRef pad, Scalar value)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long... dilation)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.conv_depthwise3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static TensorTensorTensorTuple	torch.conv_depthwise3d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.conv_depthwise3d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, BoolPointer output_mask)
static Tensor	torch.conv_depthwise3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.conv_depthwise3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static TensorTensorTensorTuple	torch.conv_tbc_backward(Tensor self, Tensor input, Tensor weight, Tensor bias, long pad)
static Tensor	torch.conv_tbc(Tensor self, Tensor weight, Tensor bias)
static Tensor	torch.conv_tbc(Tensor self, Tensor weight, Tensor bias, long pad)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, ConvTranspose1dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv_transpose1d /** about the exact behavior of this functional.
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, Tensor bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, Tensor bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, ConvTranspose2dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv_transpose2d /** about the exact behavior of this functional.
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, Tensor bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, Tensor bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, ConvTranspose3dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv_transpose3d /** about the exact behavior of this functional.
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, Tensor bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, Tensor bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long groups, long... dilation)
static Tensor	torch.conv_transpose3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, long groups, LongArrayRef dilation)
static Tensor	torch.conv1d(Tensor input, Tensor weight)
static Tensor	torch.conv1d(Tensor input, Tensor weight, Conv1dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv1d /** about the exact behavior of this functional.
static Tensor	torch.conv1d(Tensor input, Tensor weight, Tensor bias, LongPointer stride, conv_padding_t1 padding, LongPointer dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding)
static Tensor	torch.conv1d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight)
static Tensor	torch.conv2d(Tensor input, Tensor weight, Conv2dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv2d /** about the exact behavior of this functional.
static Tensor	torch.conv2d(Tensor input, Tensor weight, Tensor bias, LongPointer stride, conv_padding_t2 padding, LongPointer dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding)
static Tensor	torch.conv2d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight)
static Tensor	torch.conv3d(Tensor input, Tensor weight, Conv3dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.conv3d /** about the exact behavior of this functional.
static Tensor	torch.conv3d(Tensor input, Tensor weight, Tensor bias, LongPointer stride, conv_padding_t3 padding, LongPointer dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, long[] stride, Pointer padding, long[] dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding)
static Tensor	torch.conv3d(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, Pointer padding, LongArrayRef dilation, long groups)
static TensorTensorTensorTuple	torch.convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups, BoolPointer output_mask)
static Tensor	torch.convolution_overrideable(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution_overrideable(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.convolution(Tensor input, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, boolean transposed, long[] output_padding, long groups)
static Tensor	torch.convolution(Tensor input, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean transposed, LongArrayRef output_padding, long groups)
static Tensor	torch.copy_sparse_to_sparse_(Tensor self, Tensor src)
static Tensor	torch.copy_sparse_to_sparse_(Tensor self, Tensor src, boolean non_blocking)
static void	torch.copy_to(Tensor dst, Tensor src)
static Tensor	torch.copysign_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.copysign_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.copysign_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.copysign_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.copysign(Tensor self, Scalar other)
static Tensor	torch.copysign(Tensor self, Tensor other)
static Tensor	torch.corrcoef(Tensor self)
static Tensor	torch.cos_(Tensor self)
static Tensor	torch.cos_out(Tensor out, Tensor self)
static Tensor	torch.cos_outf(Tensor self, Tensor out)
static Tensor	torch.cos(Tensor self)
static Tensor	torch.cosh_(Tensor self)
static Tensor	torch.cosh_out(Tensor out, Tensor self)
static Tensor	torch.cosh_outf(Tensor self, Tensor out)
static Tensor	torch.cosh(Tensor self)
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target)
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, CosineEmbeddingLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.cosine_embedding_loss /** about the exact behavior of this functional.
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, double margin, long reduction)
static Tensor	torch.cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, double margin, loss_reduction_t reduction)
static Tensor	torch.cosine_similarity(Tensor x1, Tensor x2)
static Tensor	torch.cosine_similarity(Tensor x1, Tensor x2, CosineSimilarityOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.cosine_similarity /** about the exact behavior of this functional.
static Tensor	torch.cosine_similarity(Tensor x1, Tensor x2, long dim, double eps)
static Tensor	torch.count_nonzero(Tensor self)
static Tensor	torch.count_nonzero(Tensor self, long... dim)
static Tensor	torch.count_nonzero(Tensor self, LongArrayRef dim)
static Tensor	torch.count_nonzero(Tensor self, LongOptional dim)
static Tensor	torch.cov(Tensor self)
static Tensor	torch.cov(Tensor self, long correction, TensorOptional fweights, TensorOptional aweights)
static void	torch.create_gradient_edge(Tensor variable, Node function) Create an Edge between the given variable and the function, which is assumed to be the gradient function of this variable (i.e.
static Tensor	torch.cross_entropy_loss(Tensor self, Tensor target)
static Tensor	torch.cross_entropy_loss(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, double label_smoothing)
static Tensor	torch.cross_entropy(Tensor input, Tensor target)
static Tensor	torch.cross_entropy(Tensor input, Tensor target, CrossEntropyLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.cross_entropy /** about the exact behavior of this functional.
static Tensor	torch.cross_entropy(Tensor input, Tensor target, Tensor weight, long ignore_index, loss_reduction_t reduction, double label_smoothing)
static Tensor	torch.cross_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.cross_out(Tensor out, Tensor self, Tensor other, LongOptional dim)
static Tensor	torch.cross_outf(Tensor self, Tensor other, LongOptional dim, Tensor out)
static Tensor	torch.cross(Tensor self, Tensor other)
static Tensor	torch.cross(Tensor self, Tensor other, LongOptional dim)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long... target_lengths)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, long[] input_lengths, long[] target_lengths, long blank, long reduction, boolean zero_infinity)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, LongArrayRef input_lengths, LongArrayRef target_lengths, long blank, long reduction, boolean zero_infinity)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, CTCLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.ctc_loss /** about the exact behavior of this functional.
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, long blank, long reduction, boolean zero_infinity)
static Tensor	torch.ctc_loss(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, long blank, loss_reduction_t reduction, boolean zero_infinity)
static Tensor	torch.cudnn_affine_grid_generator_backward(Tensor grad, long N, long C, long H, long W)
static Tensor	torch.cudnn_affine_grid_generator(Tensor theta, long N, long C, long H, long W)
static TensorTensorTensorTuple	torch.cudnn_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon, Tensor reserveSpace)
static TensorTensorTensorTensorTuple	torch.cudnn_batch_norm(Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static Tensor	torch.cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, ScalarOptional alpha, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.cudnn_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static TensorTensorTuple	torch.cudnn_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32, BoolPointer output_mask)
static TensorTensorTuple	torch.cudnn_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32, BoolPointer output_mask)
static Tensor	torch.cudnn_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, long[] stride, long[] padding, long[] dilation, long groups)
static Tensor	torch.cudnn_convolution_relu(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, long groups)
static Tensor	torch.cudnn_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static TensorTensorTuple	torch.cudnn_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32, BoolPointer output_mask)
static TensorTensorTuple	torch.cudnn_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32, BoolPointer output_mask)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, boolean allow_tf32)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.cudnn_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static TensorTensorTuple	torch.cudnn_grid_sampler_backward(Tensor self, Tensor grid, Tensor grad_output)
static Tensor	torch.cudnn_grid_sampler(Tensor self, Tensor grid)
static boolean	torch.cudnn_is_acceptable(Tensor self)
static PointerPointer<Tensor>	torch.cummax_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.cummax_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.cummax_outf(Tensor self, Dimname dim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.cummax_outf(Tensor self, long dim, Tensor values, Tensor indices)
static TensorTensorTuple	torch.cummax(Tensor self, Dimname dim)
static TensorTensorTuple	torch.cummax(Tensor self, long dim)
static Tensor	torch.cummaxmin_backward(Tensor grad, Tensor input, Tensor indices, long dim)
static PointerPointer<Tensor>	torch.cummin_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.cummin_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.cummin_outf(Tensor self, Dimname dim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.cummin_outf(Tensor self, long dim, Tensor values, Tensor indices)
static TensorTensorTuple	torch.cummin(Tensor self, Dimname dim)
static TensorTensorTuple	torch.cummin(Tensor self, long dim)
static Tensor	torch.cumprod_backward(Tensor grad, Tensor input, long dim, Tensor output)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, long dim)
static Tensor	torch.cumprod_out(Tensor out, Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumprod_outf(Tensor self, Dimname dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumprod_outf(Tensor self, long dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumprod(Tensor self, Dimname dim)
static Tensor	torch.cumprod(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumprod(Tensor self, long dim)
static Tensor	torch.cumprod(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, long dim)
static Tensor	torch.cumsum_out(Tensor out, Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum_outf(Tensor self, Dimname dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumsum_outf(Tensor self, long dim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.cumsum(Tensor self, Dimname dim)
static Tensor	torch.cumsum(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.cumsum(Tensor self, long dim)
static Tensor	torch.cumsum(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.cumulative_trapezoid(Tensor y)
static Tensor	torch.cumulative_trapezoid(Tensor y, Scalar dx, long dim)
static Tensor	torch.cumulative_trapezoid(Tensor y, Tensor x)
static Tensor	torch.cumulative_trapezoid(Tensor y, Tensor x, long dim)
static Tensor	torch.deg2rad_(Tensor self)
static Tensor	torch.deg2rad_out(Tensor out, Tensor self)
static Tensor	torch.deg2rad_outf(Tensor self, Tensor out)
static Tensor	torch.deg2rad(Tensor self)
static Tensor	torch.dequantize(Tensor self)
static Tensor	torch.det(Tensor self)
static Tensor	torch.detach_(Tensor self)
static Tensor	torch.detach(Tensor self)
static DeviceOptional	torch.device_of(Tensor t) Return the Device of a Tensor, if the Tensor is defined.
static Tensor	torch.diag_backward(Tensor grad, long[] input_sizes, long diagonal)
static Tensor	torch.diag_backward(Tensor grad, LongArrayRef input_sizes, long diagonal)
static Tensor	torch.diag_embed(Tensor self)
static Tensor	torch.diag_embed(Tensor self, long offset, long dim1, long dim2)
static Tensor	torch.diag_out(Tensor out, Tensor self)
static Tensor	torch.diag_out(Tensor out, Tensor self, long diagonal)
static Tensor	torch.diag_outf(Tensor self, long diagonal, Tensor out)
static Tensor	torch.diag(Tensor self)
static Tensor	torch.diag(Tensor self, long diagonal)
static Tensor	torch.diagflat(Tensor self)
static Tensor	torch.diagflat(Tensor self, long offset)
static Tensor	torch.diagonal_backward(Tensor grad_output, long[] input_sizes, long offset, long dim1, long dim2)
static Tensor	torch.diagonal_backward(Tensor grad_output, LongArrayRef input_sizes, long offset, long dim1, long dim2)
static Tensor	torch.diagonal(Tensor self)
static Tensor	torch.diagonal(Tensor self, Dimname outdim, Dimname dim1, Dimname dim2)
static Tensor	torch.diagonal(Tensor self, Dimname outdim, Dimname dim1, Dimname dim2, long offset)
static Tensor	torch.diagonal(Tensor self, long offset, long dim1, long dim2)
static Tensor	torch.diff_out(Tensor out, Tensor self)
static Tensor	torch.diff_out(Tensor out, Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append)
static Tensor	torch.diff_outf(Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append, Tensor out)
static Tensor	torch.diff(Tensor self)
static Tensor	torch.diff(Tensor self, long n, long dim, TensorOptional prepend, TensorOptional append)
static Tensor	torch.digamma_out(Tensor out, Tensor self)
static Tensor	torch.digamma_outf(Tensor self, Tensor out)
static Tensor	torch.digamma(Tensor self)
static long	torch.dimname_to_position(Tensor tensor, Dimname dim)
static LongVector	torch.dimnames_to_positions(Tensor tensor, DimnameArrayRef dims)
static Tensor	torch.dirac_(Tensor tensor) Fills the given tensor with the Dirac delta function in-place, and returns it.
static Tensor	torch.dispatch_index_put_(Tensor self, TensorVector indices, Tensor value)
static Tensor	torch.dispatch_index(Tensor self, TensorVector indices)
static Tensor	torch.dist(Tensor self, Tensor other)
static Tensor	torch.dist(Tensor self, Tensor other, Scalar p)
static Tensor	torch.div_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.div_out(Tensor out, Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.div_outf(Tensor self, Tensor other, Pointer rounding_mode, Tensor out)
static Tensor	torch.div_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.div(Tensor self, Scalar other)
static Tensor	torch.div(Tensor self, Scalar other, Pointer rounding_mode)
static Tensor	torch.div(Tensor self, Tensor other)
static Tensor	torch.div(Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.divide_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.divide_out(Tensor out, Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.divide_outf(Tensor self, Tensor other, Pointer rounding_mode, Tensor out)
static Tensor	torch.divide_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.divide(Scalar x, Tensor y)
static Tensor	torch.divide(Tensor self, Scalar other)
static Tensor	torch.divide(Tensor self, Scalar other, Pointer rounding_mode)
static Tensor	torch.divide(Tensor self, Tensor other)
static Tensor	torch.divide(Tensor self, Tensor other, Pointer rounding_mode)
static Tensor	torch.dot_out(Tensor out, Tensor self, Tensor tensor)
static Tensor	torch.dot_outf(Tensor self, Tensor tensor, Tensor out)
static Tensor	torch.dot(Tensor self, Tensor tensor)
static Tensor	torch.dropout_(Tensor self, double p, boolean train)
static Tensor	torch.dropout(Tensor input)
static Tensor	torch.dropout(Tensor input, double p, boolean train)
static Tensor	torch.dropout(Tensor input, double p, boolean training, boolean inplace) Computes the p-norm distance between every pair of row vectors in the input.
static Tensor	torch.dropout(Tensor input, DropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.dropout /** about the exact behavior of this functional.
static Tensor	torch.dropout2d(Tensor input)
static Tensor	torch.dropout2d(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.dropout2d(Tensor input, DropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.dropout2d /** about the exact behavior of this functional.
static Tensor	torch.dropout3d(Tensor input)
static Tensor	torch.dropout3d(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.dropout3d(Tensor input, DropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.dropout3d /** about the exact behavior of this functional.
static TensorVector	torch.dsplit(Tensor self, long... indices)
static TensorVector	torch.dsplit(Tensor self, long sections)
static TensorVector	torch.dsplit(Tensor self, LongArrayRef indices)
static Tensor	torch.dstack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.dstack_outf(TensorArrayRef tensors, Tensor out)
static PointerPointer<Tensor>	torch.eig_out(Tensor e, Tensor v, Tensor self)
static PointerPointer<Tensor>	torch.eig_out(Tensor e, Tensor v, Tensor self, boolean eigenvectors)
static PointerPointer<Tensor>	torch.eig_outf(Tensor self, boolean eigenvectors, Tensor e, Tensor v)
static TensorTensorTuple	torch.eig(Tensor self)
static TensorTensorTuple	torch.eig(Tensor self, boolean eigenvectors)
static Tensor	torch.elu_(Tensor self)
static Tensor	torch.elu_(Tensor self, Scalar alpha, Scalar scale, Scalar input_scale)
static Tensor	torch.elu_backward_out(Tensor grad_input, Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, boolean is_result, Tensor self_or_result)
static Tensor	torch.elu_backward_outf(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, boolean is_result, Tensor self_or_result, Tensor grad_input)
static Tensor	torch.elu_backward(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, boolean is_result, Tensor self_or_result)
static Tensor	torch.elu_out(Tensor out, Tensor self)
static Tensor	torch.elu_out(Tensor out, Tensor self, Scalar alpha, Scalar scale, Scalar input_scale)
static Tensor	torch.elu_outf(Tensor self, Scalar alpha, Scalar scale, Scalar input_scale, Tensor out)
static Tensor	torch.elu(Tensor self)
static Tensor	torch.elu(Tensor input, double alpha, boolean inplace) Options for the InstanceNorm3d module.
static Tensor	torch.elu(Tensor input, ELUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.elu /** about the exact behavior of this functional.
static Tensor	torch.elu(Tensor self, Scalar alpha, Scalar scale, Scalar input_scale)
static Tensor	torch.embedding_backward(Tensor grad, Tensor indices, long num_weights, long padding_idx, boolean scale_grad_by_freq, boolean sparse)
static Tensor	torch.embedding_bag(Tensor input, Tensor weight)
static Tensor	torch.embedding_bag(Tensor input, Tensor weight, EmbeddingBagFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.embedding_bag /** about the exact behavior of this functional.
static TensorTensorTensorTensorTuple	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets)
static TensorTensorTensorTensorTuple	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset)
static TensorTensorTensorTensorTuple	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset, LongOptional padding_idx)
static Tensor	torch.embedding_bag(Tensor input, Tensor weight, Tensor offsets, DoubleOptional max_norm, double norm_type, boolean scale_grad_by_freq, EmbeddingBagMode mode, boolean sparse, Tensor per_sample_weights, boolean include_last_offset, LongOptional padding_idx)
static Tensor	torch.embedding_dense_backward(Tensor grad_output, Tensor indices, long num_weights, long padding_idx, boolean scale_grad_by_freq)
static Tensor	torch.embedding_renorm_(Tensor self, Tensor indices, double max_norm, double norm_type)
static Tensor	torch.embedding_sparse_backward(Tensor grad, Tensor indices, long num_weights, long padding_idx, boolean scale_grad_by_freq)
static Tensor	torch.embedding(Tensor weight, Tensor indices)
static Tensor	torch.embedding(Tensor input, Tensor weight, EmbeddingFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.embedding /** about the exact behavior of this functional.
static Tensor	torch.embedding(Tensor weight, Tensor indices, long padding_idx, boolean scale_grad_by_freq, boolean sparse)
static Tensor	torch.embedding(Tensor input, Tensor weight, LongOptional padding_idx, DoubleOptional max_norm, double norm_type, boolean scale_grad_by_freq, boolean sparse)
static Tensor	torch.empty_like(Tensor self)
static Tensor	torch.empty_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty_out(Tensor out, long... size)
static Tensor	torch.empty_out(Tensor out, long[] size, MemoryFormatOptional memory_format)
static Tensor	torch.empty_out(Tensor out, LongArrayRef size)
static Tensor	torch.empty_out(Tensor out, LongArrayRef size, MemoryFormatOptional memory_format)
static Tensor	torch.empty_outf(long[] size, MemoryFormatOptional memory_format, Tensor out)
static Tensor	torch.empty_outf(LongArrayRef size, MemoryFormatOptional memory_format, Tensor out)
static Tensor	torch.empty_quantized(long[] size, Tensor qtensor)
static Tensor	torch.empty_quantized(long[] size, Tensor qtensor, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty_quantized(long[] size, Tensor qtensor, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.empty_quantized(LongArrayRef size, Tensor qtensor)
static Tensor	torch.empty_quantized(LongArrayRef size, Tensor qtensor, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.empty_quantized(LongArrayRef size, Tensor qtensor, TensorOptions options, MemoryFormatOptional memory_format)
static void	torch.ensureUniqueIfOutOfPlaced(BytePointer name, Tensor tensor)
static void	torch.ensureUniqueIfOutOfPlaced(String name, Tensor tensor)
static Tensor	torch.eq_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.eq_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.eq_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.eq_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.eq(Tensor self, Scalar other)
static Tensor	torch.eq(Tensor self, Tensor other)
static boolean	torch.equal_if_defined(Tensor t1, Tensor t2) Sets the global random seed for all newly created CPU and CUDA tensors.
static boolean	torch.equal(Tensor self, Tensor other)
static Tensor	torch.equals(Scalar x, Tensor y)
static Tensor	torch.equals(Tensor x, Scalar y)
static Tensor	torch.equals(Tensor x, Tensor y)
static Tensor	torch.erf_(Tensor self)
static Tensor	torch.erf_out(Tensor out, Tensor self)
static Tensor	torch.erf_outf(Tensor self, Tensor out)
static Tensor	torch.erf(Tensor self)
static Tensor	torch.erfc_(Tensor self)
static Tensor	torch.erfc_out(Tensor out, Tensor self)
static Tensor	torch.erfc_outf(Tensor self, Tensor out)
static Tensor	torch.erfc(Tensor self)
static Tensor	torch.erfinv_out(Tensor out, Tensor self)
static Tensor	torch.erfinv_outf(Tensor self, Tensor out)
static Tensor	torch.erfinv(Tensor self)
static Tensor	torch.exp_(Tensor self)
static Tensor	torch.exp_out(Tensor out, Tensor self)
static Tensor	torch.exp_outf(Tensor self, Tensor out)
static Tensor	torch.exp(Tensor self)
static Tensor	torch.exp2_(Tensor self)
static Tensor	torch.exp2_out(Tensor out, Tensor self)
static Tensor	torch.exp2_outf(Tensor self, Tensor out)
static Tensor	torch.exp2(Tensor self)
static TensorMaybeOwned	torch.expand_inplace(Tensor tensor, Tensor to_expand)
static TensorMaybeOwned	torch.expand_inplace(Tensor tensor, Tensor to_expand, BytePointer api_name)
static TensorMaybeOwned	torch.expand_inplace(Tensor tensor, Tensor to_expand, String api_name)
static TensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_inplace(Tensor tensor, Tensor to_expand1, Tensor to_expand2)
static TensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_inplace(Tensor tensor, Tensor to_expand1, Tensor to_expand2, BytePointer api_name)
static TensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_inplace(Tensor tensor, Tensor to_expand1, Tensor to_expand2, String api_name)
static TensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_outplace(Tensor to_expand1, Tensor to_expand2)
static TensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_outplace(Tensor to_expand1, Tensor to_expand2, BytePointer api_name)
static TensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_outplace(Tensor to_expand1, Tensor to_expand2, String api_name)
static TensorMaybeOwnedTensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_outplace(Tensor to_expand1, Tensor to_expand2, Tensor to_expand3)
static TensorMaybeOwnedTensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_outplace(Tensor to_expand1, Tensor to_expand2, Tensor to_expand3, BytePointer api_name)
static TensorMaybeOwnedTensorMaybeOwnedTensorMaybeOwnedTuple	torch.expand_outplace(Tensor to_expand1, Tensor to_expand2, Tensor to_expand3, String api_name)
static TensorMaybeOwned	torch.expand_size(Tensor to_expand, long... sizes)
static TensorMaybeOwned	torch.expand_size(Tensor to_expand, long[] sizes, String api_name)
static TensorMaybeOwned	torch.expand_size(Tensor to_expand, LongArrayRef sizes)
static TensorMaybeOwned	torch.expand_size(Tensor to_expand, LongArrayRef sizes, BytePointer api_name)
static Tensor	torch.expm1_(Tensor self)
static Tensor	torch.expm1_out(Tensor out, Tensor self)
static Tensor	torch.expm1_outf(Tensor self, Tensor out)
static Tensor	torch.expm1(Tensor self)
static Tensor	torch.eye_(Tensor matrix) Fills the given 2-dimensional matrix with an identity matrix.
static Tensor	torch.eye_out(Tensor out, long n)
static Tensor	torch.eye_out(Tensor out, long n, long m)
static Tensor	torch.eye_outf(long n, long m, Tensor out)
static Tensor	torch.eye_outf(long n, Tensor out)
static Tensor	torch.fake_quantize_per_channel_affine_cachemask_backward(Tensor grad, Tensor mask)
static TensorTensorTuple	torch.fake_quantize_per_channel_affine_cachemask(Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max)
static Tensor	torch.fake_quantize_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, long axis, long quant_min, long quant_max)
static Tensor	torch.fake_quantize_per_tensor_affine_cachemask_backward(Tensor grad, Tensor mask)
static TensorTensorTuple	torch.fake_quantize_per_tensor_affine_cachemask(Tensor self, double scale, long zero_point, long quant_min, long quant_max)
static Tensor	torch.fake_quantize_per_tensor_affine(Tensor self, double scale, long zero_point, long quant_min, long quant_max)
static Tensor	torch.fake_quantize_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, long quant_min, long quant_max)
static Tensor	torch.fbgemm_linear_fp16_weight_fp32_activation(Tensor input, Tensor packed_weight, Tensor bias)
static Tensor	torch.fbgemm_linear_fp16_weight(Tensor input, Tensor packed_weight, Tensor bias)
static Tensor	torch.fbgemm_linear_int8_weight_fp32_activation(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias)
static Tensor	torch.fbgemm_linear_int8_weight(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias)
static TensorTensorDoubleLongTuple	torch.fbgemm_linear_quantize_weight(Tensor input)
static Tensor	torch.fbgemm_pack_gemm_matrix_fp16(Tensor input)
static Tensor	torch.fbgemm_pack_quantized_matrix(Tensor input)
static Tensor	torch.fbgemm_pack_quantized_matrix(Tensor input, long K, long N)
static Tensor	torch.feature_alpha_dropout_(Tensor self, double p, boolean train)
static Tensor	torch.feature_alpha_dropout(Tensor input)
static Tensor	torch.feature_alpha_dropout(Tensor input, double p, boolean train)
static Tensor	torch.feature_alpha_dropout(Tensor input, double p, boolean training, boolean inplace)
static Tensor	torch.feature_alpha_dropout(Tensor input, FeatureAlphaDropoutFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.feature_alpha_dropout /** about the exact behavior of this functional.
static Tensor	torch.feature_dropout_(Tensor self, double p, boolean train)
static Tensor	torch.feature_dropout(Tensor input, double p, boolean train)
static Tensor	torch.fft_fft_out(Tensor out, Tensor self)
static Tensor	torch.fft_fft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_fft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fft(Tensor self)
static Tensor	torch.fft_fft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_fft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_fft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_fft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_fft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fft2(Tensor self)
static Tensor	torch.fft_fft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_fft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_fftfreq_out(Tensor out, long n)
static Tensor	torch.fft_fftfreq_out(Tensor out, long n, double d)
static Tensor	torch.fft_fftfreq_outf(long n, double d, Tensor out)
static Tensor	torch.fft_fftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_fftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_fftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_fftn(Tensor self)
static Tensor	torch.fft_fftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_fftshift(Tensor self)
static Tensor	torch.fft_fftshift(Tensor self, LongArrayRefOptional dim)
static Tensor	torch.fft_hfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_hfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_hfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_hfft(Tensor self)
static Tensor	torch.fft_hfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ifft_out(Tensor out, Tensor self)
static Tensor	torch.fft_ifft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ifft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifft(Tensor self)
static Tensor	torch.fft_ifft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ifft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_ifft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_ifft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_ifft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifft2(Tensor self)
static Tensor	torch.fft_ifft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_ifft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_ifftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_ifftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_ifftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ifftn(Tensor self)
static Tensor	torch.fft_ifftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_ifftshift(Tensor self)
static Tensor	torch.fft_ifftshift(Tensor self, LongArrayRefOptional dim)
static Tensor	torch.fft_ihfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_ihfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_ihfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_ihfft(Tensor self)
static Tensor	torch.fft_ihfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_irfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_irfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_irfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfft(Tensor self)
static Tensor	torch.fft_irfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_irfft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_irfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_irfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_irfft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfft2(Tensor self)
static Tensor	torch.fft_irfft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_irfft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_irfftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_irfftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_irfftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_irfftn(Tensor self)
static Tensor	torch.fft_irfftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_rfft_out(Tensor out, Tensor self)
static Tensor	torch.fft_rfft_out(Tensor out, Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_rfft_outf(Tensor self, LongOptional n, long dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfft(Tensor self)
static Tensor	torch.fft_rfft(Tensor self, LongOptional n, long dim, Pointer norm)
static Tensor	torch.fft_rfft2_out(Tensor out, Tensor self)
static Tensor	torch.fft_rfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_rfft2_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_rfft2_outf(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfft2_outf(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfft2(Tensor self)
static Tensor	torch.fft_rfft2(Tensor self, LongArrayRefOptional s, long[] dim, Pointer norm)
static Tensor	torch.fft_rfft2(Tensor self, LongArrayRefOptional s, LongArrayRef dim, Pointer norm)
static Tensor	torch.fft_rfftfreq_out(Tensor out, long n)
static Tensor	torch.fft_rfftfreq_out(Tensor out, long n, double d)
static Tensor	torch.fft_rfftfreq_outf(long n, double d, Tensor out)
static Tensor	torch.fft_rfftn_out(Tensor out, Tensor self)
static Tensor	torch.fft_rfftn_out(Tensor out, Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fft_rfftn_outf(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm, Tensor out)
static Tensor	torch.fft_rfftn(Tensor self)
static Tensor	torch.fft_rfftn(Tensor self, LongArrayRefOptional s, LongArrayRefOptional dim, Pointer norm)
static Tensor	torch.fill_(Tensor self, Scalar value)
static Tensor	torch.fill_(Tensor self, Tensor value)
static Tensor	torch.fix_(Tensor self)
static Tensor	torch.fix_out(Tensor out, Tensor self)
static Tensor	torch.fix_outf(Tensor self, Tensor out)
static Tensor	torch.fix(Tensor self)
static Tensor	torch.flatten(Tensor self)
static Tensor	torch.flatten(Tensor self, DimnameArrayRef dims, Dimname out_dim)
static Tensor	torch.flatten(Tensor self, Dimname start_dim, Dimname end_dim, Dimname out_dim)
static Tensor	torch.flatten(Tensor self, long start_dim, long end_dim)
static Tensor	torch.flatten(Tensor self, long start_dim, long end_dim, Dimname out_dim)
static Tensor	torch.flip(Tensor self, long... dims)
static Tensor	torch.flip(Tensor self, LongArrayRef dims)
static Tensor	torch.fliplr(Tensor self)
static Tensor	torch.flipud(Tensor self)
static Tensor	torch.float_power_out(Tensor out, Scalar self, Tensor exponent)
static Tensor	torch.float_power_out(Tensor out, Tensor self, Scalar exponent)
static Tensor	torch.float_power_out(Tensor out, Tensor self, Tensor exponent)
static Tensor	torch.float_power_outf(Scalar self, Tensor exponent, Tensor out)
static Tensor	torch.float_power_outf(Tensor self, Scalar exponent, Tensor out)
static Tensor	torch.float_power_outf(Tensor self, Tensor exponent, Tensor out)
static Tensor	torch.float_power(Scalar self, Tensor exponent)
static Tensor	torch.float_power(Tensor self, Scalar exponent)
static Tensor	torch.float_power(Tensor self, Tensor exponent)
static Tensor	torch.floor_(Tensor self)
static Tensor	torch.floor_divide_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.floor_divide_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.floor_divide(Tensor self, Scalar other)
static Tensor	torch.floor_divide(Tensor self, Tensor other)
static Tensor	torch.floor_out(Tensor out, Tensor self)
static Tensor	torch.floor_outf(Tensor self, Tensor out)
static Tensor	torch.floor(Tensor self)
static Tensor	torch.fmax_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.fmax_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.fmax(Tensor self, Tensor other)
static Tensor	torch.fmin_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.fmin_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.fmin(Tensor self, Tensor other)
static Tensor	torch.fmod_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.fmod_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.fmod_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.fmod_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.fmod(Tensor self, Scalar other)
static Tensor	torch.fmod(Tensor self, Tensor other)
static Tensor	torch.fold(Tensor input, FoldOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.fold /** about the exact behavior of this functional.
static Tensor	torch.fold(Tensor input, LongPointer output_size, LongPointer kernel_size, LongPointer dilation, LongPointer padding, LongPointer stride)
static Tensor	torch.frac_(Tensor self)
static Tensor	torch.frac_out(Tensor out, Tensor self)
static Tensor	torch.frac_outf(Tensor self, Tensor out)
static Tensor	torch.frac(Tensor self)
static Tensor	torch.fractional_max_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static Tensor	torch.fractional_max_pool2d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool2d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool2d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_out(Tensor output, Tensor indices, Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_out(Tensor output, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_outf(Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples, Tensor output, Tensor indices)
static PointerPointer<Tensor>	torch.fractional_max_pool2d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples, Tensor output, Tensor indices)
static TensorTensorTuple	torch.fractional_max_pool2d_with_indices(Tensor input, FractionalMaxPool2dOptions options) See the documentation for torch::nn::functional::FractionalMaxPool2dFuncOptions class to learn what /** optional arguments are supported for this functional.
static TensorTensorTuple	torch.fractional_max_pool2d_with_indices(Tensor input, LongPointer kernel_size, LongExpandingArrayOptional output_size, DoubleExpandingArrayOptional output_ratio, Tensor _random_samples)
static Tensor	torch.fractional_max_pool2d(Tensor input, FractionalMaxPool2dOptions options) See the documentation for torch::nn::functional::FractionalMaxPool2dFuncOptions class to learn what /** optional arguments are supported for this functional.
static TensorTensorTuple	torch.fractional_max_pool2d(Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples)
static TensorTensorTuple	torch.fractional_max_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples)
static Tensor	torch.fractional_max_pool2d(Tensor input, LongPointer kernel_size, LongExpandingArrayOptional output_size, DoubleExpandingArrayOptional output_ratio, Tensor _random_samples)
static Tensor	torch.fractional_max_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static Tensor	torch.fractional_max_pool3d_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices, Tensor grad_input)
static Tensor	torch.fractional_max_pool3d_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] output_size, Tensor indices)
static Tensor	torch.fractional_max_pool3d_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor indices)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_out(Tensor output, Tensor indices, Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_out(Tensor output, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_outf(Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples, Tensor output, Tensor indices)
static PointerPointer<Tensor>	torch.fractional_max_pool3d_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples, Tensor output, Tensor indices)
static TensorTensorTuple	torch.fractional_max_pool3d_with_indices(Tensor input, FractionalMaxPool3dOptions options) See the documentation for torch::nn::functional::FractionalMaxPool3dFuncOptions class to learn what /** optional arguments are supported for this functional.
static TensorTensorTuple	torch.fractional_max_pool3d_with_indices(Tensor input, LongPointer kernel_size, LongExpandingArrayOptional output_size, DoubleExpandingArrayOptional output_ratio, Tensor _random_samples)
static Tensor	torch.fractional_max_pool3d(Tensor input, FractionalMaxPool3dOptions options) See the documentation for torch::nn::functional::FractionalMaxPool3dFuncOptions class to learn what /** optional arguments are supported for this functional.
static TensorTensorTuple	torch.fractional_max_pool3d(Tensor self, long[] kernel_size, long[] output_size, Tensor random_samples)
static TensorTensorTuple	torch.fractional_max_pool3d(Tensor self, LongArrayRef kernel_size, LongArrayRef output_size, Tensor random_samples)
static Tensor	torch.fractional_max_pool3d(Tensor input, LongPointer kernel_size, LongExpandingArrayOptional output_size, DoubleExpandingArrayOptional output_ratio, Tensor _random_samples)
static PointerPointer<Tensor>	torch.frexp_out(Tensor mantissa, Tensor exponent, Tensor self)
static PointerPointer<Tensor>	torch.frexp_outf(Tensor self, Tensor mantissa, Tensor exponent)
static TensorTensorTuple	torch.frexp(Tensor self)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.frobenius_norm_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.frobenius_norm_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.frobenius_norm_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.frobenius_norm(Tensor self)
static Tensor	torch.frobenius_norm(Tensor self, long... dim)
static Tensor	torch.frobenius_norm(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.frobenius_norm(Tensor self, LongArrayRef dim)
static Tensor	torch.frobenius_norm(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.full_like(Tensor self, Scalar fill_value)
static Tensor	torch.full_like(Tensor self, Scalar fill_value, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.full_like(Tensor self, Scalar fill_value, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.full_out(Tensor out, long[] size, Scalar fill_value)
static Tensor	torch.full_out(Tensor out, LongArrayRef size, Scalar fill_value)
static Tensor	torch.full_outf(long[] size, Scalar fill_value, Tensor out)
static Tensor	torch.full_outf(LongArrayRef size, Scalar fill_value, Tensor out)
static Tensor	torch.fused_moving_avg_obs_fake_quant(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor running_min, Tensor running_max, Tensor scale, Tensor zero_point, double averaging_const, long quant_min, long quant_max, long ch_axis)
static Tensor	torch.fused_moving_avg_obs_fake_quant(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor running_min, Tensor running_max, Tensor scale, Tensor zero_point, double averaging_const, long quant_min, long quant_max, long ch_axis, boolean per_row_fake_quant, boolean symmetric_quant)
static Tensor	torch.gather_backward(Tensor grad, Tensor self, long dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather_out(Tensor out, Tensor self, Dimname dim, Tensor index)
static Tensor	torch.gather_out(Tensor out, Tensor self, Dimname dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather_out(Tensor out, Tensor self, long dim, Tensor index)
static Tensor	torch.gather_out(Tensor out, Tensor self, long dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather_outf(Tensor self, Dimname dim, Tensor index, boolean sparse_grad, Tensor out)
static Tensor	torch.gather_outf(Tensor self, long dim, Tensor index, boolean sparse_grad, Tensor out)
static Tensor	torch.gather(Tensor self, Dimname dim, Tensor index)
static Tensor	torch.gather(Tensor self, Dimname dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gather(Tensor self, long dim, Tensor index)
static Tensor	torch.gather(Tensor self, long dim, Tensor index, boolean sparse_grad)
static Tensor	torch.gcd_(Tensor self, Tensor other)
static Tensor	torch.gcd_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.gcd_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.gcd(Tensor self, Tensor other)
static Tensor	torch.ge_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.ge_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.ge_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.ge_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.ge(Tensor self, Scalar other)
static Tensor	torch.ge(Tensor self, Tensor other)
static Tensor	torch.gelu_backward_out(Tensor grad_input, Tensor grad, Tensor self)
static Tensor	torch.gelu_backward_outf(Tensor grad, Tensor self, Tensor grad_input)
static Tensor	torch.gelu_backward(Tensor grad, Tensor self)
static Tensor	torch.gelu_out(Tensor out, Tensor self)
static Tensor	torch.gelu_outf(Tensor self, Tensor out)
static Tensor	torch.gelu(Tensor self)
static PointerPointer<Tensor>	torch.geqrf_out(Tensor a, Tensor tau, Tensor self)
static PointerPointer<Tensor>	torch.geqrf_outf(Tensor self, Tensor a, Tensor tau)
static TensorTensorTuple	torch.geqrf(Tensor self)
static Tensor	torch.ger_out(Tensor out, Tensor self, Tensor vec2)
static Tensor	torch.ger_outf(Tensor self, Tensor vec2, Tensor out)
static Tensor	torch.ger(Tensor self, Tensor vec2)
static Tensor	torch.get_item(Tensor self, TensorIndexArrayRef indices)
static Tensor	torch.get_item(Tensor self, TensorIndexArrayRef indices, boolean disable_slice_optimization)
static TensorBase	torch.get_tensor_base(Tensor t)
static Tensor	torch.getSizeOf(Tensor var, long dim)
static WriteableTensorData	torch.getWriteableTensorData(Tensor tensor)
static WriteableTensorData	torch.getWriteableTensorData(Tensor tensor, boolean to_cpu)
static Tensor	torch.glu_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long dim)
static Tensor	torch.glu_backward_outf(Tensor grad_output, Tensor self, long dim, Tensor grad_input)
static Tensor	torch.glu_backward(Tensor grad_output, Tensor self, long dim)
static Tensor	torch.glu_out(Tensor out, Tensor self)
static Tensor	torch.glu_out(Tensor out, Tensor self, long dim)
static Tensor	torch.glu_outf(Tensor self, long dim, Tensor out)
static Tensor	torch.glu(Tensor self)
static Tensor	torch.glu(Tensor input, GLUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.glu /** about the exact behavior of this functional.
static Tensor	torch.glu(Tensor self, long dim)
static Node	torch.grad_accumulator(Tensor arg0) Gets the gradient accumulator of the Variable if it has one, or else create one on the fly and return it.
static Node	torch.grad_fn_unsafe(Tensor arg0) Gets the raw gradient function pointer, whatever it currently is.
static Edge	torch.gradient_edge(Tensor arg0) Returns the "canonical" gradient edge of this Variable, i.e.
static TensorVector	torch.gradient(Tensor self)
static TensorVector	torch.gradient(Tensor self, long... dim)
static TensorVector	torch.gradient(Tensor self, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, long... dim)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarArrayRef spacing, LongOptional dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, long... dim)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, Scalar spacing, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, ScalarOptional spacing, LongOptional dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, long... dim)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, long[] dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, LongArrayRef dim)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, LongArrayRef dim, long edge_order)
static TensorVector	torch.gradient(Tensor self, TensorArrayRef spacing, LongOptional dim, long edge_order)
static Tensor	torch.greater_equal_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.greater_equal_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.greater_equal_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.greater_equal_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.greater_equal(Tensor self, Scalar other)
static Tensor	torch.greater_equal(Tensor self, Tensor other)
static Tensor	torch.greater_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.greater_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.greater_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.greater_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.greater(Tensor self, Scalar other)
static Tensor	torch.greater(Tensor self, Tensor other)
static Tensor	torch.greaterThan(Scalar x, Tensor y)
static Tensor	torch.greaterThan(Tensor x, Scalar y)
static Tensor	torch.greaterThan(Tensor x, Tensor y)
static Tensor	torch.greaterThanEquals(Scalar x, Tensor y)
static Tensor	torch.greaterThanEquals(Tensor x, Scalar y)
static Tensor	torch.greaterThanEquals(Tensor x, Tensor y)
static Tensor	torch.grid_sample(Tensor input, Tensor grid)
static Tensor	torch.grid_sample(Tensor input, Tensor grid, grid_sample_mode_t mode, grid_sample_padding_mode_t padding_mode, BoolOptional align_corners)
static Tensor	torch.grid_sample(Tensor input, Tensor grid, GridSampleFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.grid_sample /** about the exact behavior of this functional.
static TensorTensorTuple	torch.grid_sampler_2d_backward(Tensor grad_output, Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch.grid_sampler_2d(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static TensorTensorTuple	torch.grid_sampler_3d_backward(Tensor grad_output, Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch.grid_sampler_3d(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch.grid_sampler(Tensor input, Tensor grid, long interpolation_mode, long padding_mode, boolean align_corners)
static Tensor	torch.group_norm(Tensor input, GroupNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.group_norm /** about the exact behavior of this functional.
static Tensor	torch.group_norm(Tensor input, long num_groups)
static Tensor	torch.group_norm(Tensor input, long num_groups, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enabled)
static Tensor	torch.group_norm(Tensor input, long num_groups, Tensor weight, Tensor bias, double eps)
static Tensor	torch.gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh)
static Tensor	torch.gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static TensorTensorTuple	torch.gru(Tensor input, Tensor hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static TensorTensorTuple	torch.gru(Tensor data, Tensor batch_sizes, Tensor hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static Tensor	torch.gt_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.gt_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.gt_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.gt_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.gt(Tensor self, Scalar other)
static Tensor	torch.gt(Tensor self, Tensor other)
static Tensor	torch.gumbel_softmax(Tensor logits)
static Tensor	torch.gumbel_softmax(Tensor logits, double tau, boolean hard, int dim)
static Tensor	torch.gumbel_softmax(Tensor logits, GumbelSoftmaxFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.gumbel_softmax /** about the exact behavior of this functional.
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, long[] dim_ptr, long[] specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, long... prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, long[] dim_ptr, long[] specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, LongArrayRef prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongBuffer dim_ptr, LongBuffer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, long... prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongBuffer dim_ptr, LongBuffer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, LongArrayRef prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongPointer dim_ptr, LongPointer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, long... prev_dim_result_sizes)
static Tensor	torch.handleDimInMultiDimIndexing(Tensor prev_dim_result, Tensor original_tensor, TensorIndex index, LongPointer dim_ptr, LongPointer specified_dims_ptr, long real_dim, TensorVector outIndices, boolean disable_slice_optimization, Device original_tensor_device, LongArrayRef prev_dim_result_sizes)
static Tensor	torch.hardshrink_backward_out(Tensor grad_input, Tensor grad_out, Tensor self, Scalar lambd)
static Tensor	torch.hardshrink_backward_outf(Tensor grad_out, Tensor self, Scalar lambd, Tensor grad_input)
static Tensor	torch.hardshrink_backward(Tensor grad_out, Tensor self, Scalar lambd)
static Tensor	torch.hardshrink_out(Tensor out, Tensor self)
static Tensor	torch.hardshrink_out(Tensor out, Tensor self, Scalar lambd)
static Tensor	torch.hardshrink_outf(Tensor self, Scalar lambd, Tensor out)
static Tensor	torch.hardshrink(Tensor self)
static Tensor	torch.hardshrink(Tensor input, double lambda)
static Tensor	torch.hardshrink(Tensor input, HardshrinkOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.hardshrink /** about the exact behavior of this functional.
static Tensor	torch.hardshrink(Tensor self, Scalar lambd)
static Tensor	torch.hardsigmoid_(Tensor self)
static Tensor	torch.hardsigmoid_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.hardsigmoid_backward_outf(Tensor grad_output, Tensor self, Tensor grad_input)
static Tensor	torch.hardsigmoid_backward(Tensor grad_output, Tensor self)
static Tensor	torch.hardsigmoid_out(Tensor out, Tensor self)
static Tensor	torch.hardsigmoid_outf(Tensor self, Tensor out)
static Tensor	torch.hardsigmoid(Tensor self)
static Tensor	torch.hardswish_(Tensor self)
static Tensor	torch.hardswish_backward(Tensor grad_output, Tensor self)
static Tensor	torch.hardswish_out(Tensor out, Tensor self)
static Tensor	torch.hardswish_outf(Tensor self, Tensor out)
static Tensor	torch.hardswish(Tensor self)
static Tensor	torch.hardtanh_(Tensor self)
static Tensor	torch.hardtanh_(Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_backward_outf(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val, Tensor grad_input)
static Tensor	torch.hardtanh_backward(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_out(Tensor out, Tensor self)
static Tensor	torch.hardtanh_out(Tensor out, Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.hardtanh_outf(Tensor self, Scalar min_val, Scalar max_val, Tensor out)
static Tensor	torch.hardtanh(Tensor self)
static Tensor	torch.hardtanh(Tensor input, double min_val, double max_val, boolean inplace)
static Tensor	torch.hardtanh(Tensor input, HardtanhOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.hardtanh /** about the exact behavior of this functional.
static Tensor	torch.hardtanh(Tensor self, Scalar min_val, Scalar max_val)
static Tensor	torch.heaviside_out(Tensor out, Tensor self, Tensor values)
static Tensor	torch.heaviside_outf(Tensor self, Tensor values, Tensor out)
static Tensor	torch.heaviside(Tensor self, Tensor values)
static Tensor	torch.hinge_embedding_loss(Tensor self, Tensor target)
static Tensor	torch.hinge_embedding_loss(Tensor self, Tensor target, double margin, long reduction)
static Tensor	torch.hinge_embedding_loss(Tensor input, Tensor target, double margin, loss_reduction_t reduction)
static Tensor	torch.hinge_embedding_loss(Tensor input, Tensor target, HingeEmbeddingLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.hinge_embedding_loss /** about the exact behavior of this functional.
static Tensor	torch.histc_out(Tensor out, Tensor self)
static Tensor	torch.histc_out(Tensor out, Tensor self, long bins, Scalar min, Scalar max)
static Tensor	torch.histc_outf(Tensor self, long bins, Scalar min, Scalar max, Tensor out)
static Tensor	torch.histc(Tensor self)
static Tensor	torch.histc(Tensor self, long bins, Scalar min, Scalar max)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, Tensor bins)
static PointerPointer<Tensor>	torch.histogram_out(Tensor hist, Tensor bin_edges, Tensor self, Tensor bins, TensorOptional weight, boolean density)
static PointerPointer<Tensor>	torch.histogram_outf(Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density, Tensor hist, Tensor bin_edges)
static PointerPointer<Tensor>	torch.histogram_outf(Tensor self, Tensor bins, TensorOptional weight, boolean density, Tensor hist, Tensor bin_edges)
static TensorTensorTuple	torch.histogram(Tensor self)
static TensorTensorTuple	torch.histogram(Tensor self, long bins, DoubleArrayRefOptional range, TensorOptional weight, boolean density)
static TensorTensorTuple	torch.histogram(Tensor self, Tensor bins)
static TensorTensorTuple	torch.histogram(Tensor self, Tensor bins, TensorOptional weight, boolean density)
static FunctionPreVector	torch.hooks(Tensor arg0)
static TensorVector	torch.hsplit(Tensor self, long... indices)
static TensorVector	torch.hsplit(Tensor self, long sections)
static TensorVector	torch.hsplit(Tensor self, LongArrayRef indices)
static Tensor	torch.hspmm_out(Tensor out, Tensor mat1, Tensor mat2)
static Tensor	torch.hspmm_outf(Tensor mat1, Tensor mat2, Tensor out)
static Tensor	torch.hspmm(Tensor mat1, Tensor mat2)
static Tensor	torch.hstack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.hstack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.huber_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, double delta, Tensor grad_input)
static Tensor	torch.huber_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.huber_loss_out(Tensor out, Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss_outf(Tensor self, Tensor target, long reduction, double delta, Tensor out)
static Tensor	torch.huber_loss(Tensor self, Tensor target)
static Tensor	torch.huber_loss(Tensor input, Tensor target, HuberLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.huber_loss /** about the exact behavior of this functional.
static Tensor	torch.huber_loss(Tensor self, Tensor target, long reduction, double delta)
static Tensor	torch.huber_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.huber_loss(Tensor input, Tensor target, loss_reduction_t reduction, double delta)
static Tensor	torch.hypot_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.hypot_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.hypot(Tensor self, Tensor other)
static Tensor	torch.i0_(Tensor self)
static Tensor	torch.i0_out(Tensor out, Tensor self)
static Tensor	torch.i0_outf(Tensor self, Tensor out)
static Tensor	torch.i0(Tensor self)
static Tensor	torch.igamma_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.igamma_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.igamma(Tensor self, Tensor other)
static Tensor	torch.igammac_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.igammac_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.igammac(Tensor self, Tensor other)
static Tensor	torch.im2col_backward_out(Tensor grad_input, Tensor grad_output, long[] input_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef input_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.im2col_backward_outf(Tensor grad_output, long[] input_size, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor grad_input)
static Tensor	torch.im2col_backward_outf(Tensor grad_output, LongArrayRef input_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor grad_input)
static Tensor	torch.im2col_backward(Tensor grad_output, long[] input_size, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col_backward(Tensor grad_output, LongArrayRef input_size, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.im2col_out(Tensor out, Tensor self, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col_out(Tensor out, Tensor self, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.im2col_outf(Tensor self, long[] kernel_size, long[] dilation, long[] padding, long[] stride, Tensor out)
static Tensor	torch.im2col_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride, Tensor out)
static Tensor	torch.im2col(Tensor self, long[] kernel_size, long[] dilation, long[] padding, long... stride)
static Tensor	torch.im2col(Tensor self, LongArrayRef kernel_size, LongArrayRef dilation, LongArrayRef padding, LongArrayRef stride)
static Tensor	torch.imag(Tensor self)
static Tensor	torch.index_add(Tensor self, Dimname dim, Tensor index, Tensor source)
static Tensor	torch.index_add(Tensor self, Dimname dim, Tensor index, Tensor source, Scalar alpha)
static Tensor	torch.index_add(Tensor self, long dim, Tensor index, Tensor source)
static Tensor	torch.index_add(Tensor self, long dim, Tensor index, Tensor source, Scalar alpha)
static Tensor	torch.index_copy(Tensor self, Dimname dim, Tensor index, Tensor source)
static Tensor	torch.index_copy(Tensor self, long dim, Tensor index, Tensor source)
static Tensor	torch.index_fill(Tensor self, Dimname dim, Tensor index, Scalar value)
static Tensor	torch.index_fill(Tensor self, Dimname dim, Tensor index, Tensor value)
static Tensor	torch.index_fill(Tensor self, long dim, Tensor index, Scalar value)
static Tensor	torch.index_fill(Tensor self, long dim, Tensor index, Tensor value)
static Tensor	torch.index_select_backward(Tensor grad, long[] self_sizes, long dim, Tensor index)
static Tensor	torch.index_select_backward(Tensor grad, LongArrayRef self_sizes, long dim, Tensor index)
static Tensor	torch.index_select_out(Tensor out, Tensor self, Dimname dim, Tensor index)
static Tensor	torch.index_select_out(Tensor out, Tensor self, long dim, Tensor index)
static Tensor	torch.index_select_outf(Tensor self, Dimname dim, Tensor index, Tensor out)
static Tensor	torch.index_select_outf(Tensor self, long dim, Tensor index, Tensor out)
static Tensor	torch.index_select(Tensor self, Dimname dim, Tensor index)
static Tensor	torch.index_select(Tensor self, long dim, Tensor index)
static Tensor	torch.infinitely_differentiable_gelu_backward(Tensor grad, Tensor self)
static Tensor	torch.inner_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.inner_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.inner(Tensor self, Tensor other)
static Tensor	torch.instance_norm(Tensor input)
static Tensor	torch.instance_norm(Tensor input, InstanceNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.instance_norm /** about the exact behavior of this functional.
static Tensor	torch.instance_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean use_input_stats, double momentum, double eps, boolean cudnn_enabled)
static Tensor	torch.instance_norm(Tensor input, Tensor running_mean, Tensor running_var, Tensor weight, Tensor bias, boolean use_input_stats, double momentum, double eps)
static Tensor	torch.int_repr(Tensor self)
static Tensor	torch.interpolate(Tensor input)
static Tensor	torch.interpolate(Tensor input, InterpolateFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.interpolate /** about the exact behavior of this functional.
static Tensor	torch.interpolate(Tensor input, LongVectorOptional size, DoubleVectorOptional scale_factor, interpolate_mode_t mode, BoolOptional align_corners, BoolOptional recompute_scale_factor)
static Tensor	torch.inverse_out(Tensor out, Tensor self)
static Tensor	torch.inverse_outf(Tensor self, Tensor out)
static Tensor	torch.inverse(Tensor self)
static Tensor	torch.invert_permutation(Tensor permutation)
static boolean	torch.is_complex(Tensor tensor)
static boolean	torch.is_conj(Tensor tensor)
static boolean	torch.is_distributed(Tensor self)
static boolean	torch.is_floating_point(Tensor tensor)
static boolean	torch.is_inference(Tensor tensor)
static boolean	torch.is_neg(Tensor tensor)
static boolean	torch.is_nonzero(Tensor self)
static boolean	torch.is_same_size(Tensor self, Tensor other)
static boolean	torch.is_signed(Tensor tensor)
static Tensor	torch.isclose(Tensor self, Tensor other)
static Tensor	torch.isclose(Tensor self, Tensor other, double rtol, double atol, boolean equal_nan)
static Tensor	torch.isfinite(Tensor self)
static Tensor	torch.isin_out(Tensor out, Scalar element, Tensor test_elements)
static Tensor	torch.isin_out(Tensor out, Scalar element, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Scalar test_element)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Scalar test_element, boolean assume_unique, boolean invert)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Tensor test_elements)
static Tensor	torch.isin_out(Tensor out, Tensor elements, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isin_outf(Scalar element, Tensor test_elements, boolean assume_unique, boolean invert, Tensor out)
static Tensor	torch.isin_outf(Tensor elements, Scalar test_element, boolean assume_unique, boolean invert, Tensor out)
static Tensor	torch.isin_outf(Tensor elements, Tensor test_elements, boolean assume_unique, boolean invert, Tensor out)
static Tensor	torch.isin(Scalar element, Tensor test_elements)
static Tensor	torch.isin(Scalar element, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isin(Tensor elements, Scalar test_element)
static Tensor	torch.isin(Tensor elements, Scalar test_element, boolean assume_unique, boolean invert)
static Tensor	torch.isin(Tensor elements, Tensor test_elements)
static Tensor	torch.isin(Tensor elements, Tensor test_elements, boolean assume_unique, boolean invert)
static Tensor	torch.isinf(Tensor self)
static Tensor	torch.isnan(Tensor self)
static Tensor	torch.isneginf_out(Tensor out, Tensor self)
static Tensor	torch.isneginf_outf(Tensor self, Tensor out)
static Tensor	torch.isneginf(Tensor self)
static Tensor	torch.isposinf_out(Tensor out, Tensor self)
static Tensor	torch.isposinf_outf(Tensor self, Tensor out)
static Tensor	torch.isposinf(Tensor self)
static Tensor	torch.isreal(Tensor self)
static Tensor	torch.istft(Tensor self, long n_fft)
static Tensor	torch.istft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean center, boolean normalized, BoolOptional onesided, LongOptional length, boolean return_complex)
static Tensor	torch.kaiming_normal_(Tensor tensor)
static Tensor	torch.kaiming_normal_(Tensor tensor, double a, FanModeType mode, NonlinearityType nonlinearity) Fills the input Tensor with values according to the method described in "Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification" - He, K.
static Tensor	torch.kaiming_uniform_(Tensor tensor)
static Tensor	torch.kaiming_uniform_(Tensor tensor, double a, FanModeType mode, NonlinearityType nonlinearity) Fills the input Tensor with values according to the method described in "Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification" - He, K.
static Tensor	torch.kl_div_backward(Tensor grad_output, Tensor self, Tensor target)
static Tensor	torch.kl_div_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, boolean log_target)
static Tensor	torch.kl_div(Tensor self, Tensor target)
static Tensor	torch.kl_div(Tensor input, Tensor target, kldiv_loss_reduction_t reduction)
static Tensor	torch.kl_div(Tensor input, Tensor target, kldiv_loss_reduction_t reduction, boolean log_target)
static Tensor	torch.kl_div(Tensor input, Tensor target, KLDivLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.kl_div /** about the exact behavior of this functional.
static Tensor	torch.kl_div(Tensor self, Tensor target, long reduction, boolean log_target)
static Tensor	torch.kron_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.kron_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.kron(Tensor self, Tensor other)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k, Dimname dim)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.kthvalue_out(Tensor values, Tensor indices, Tensor self, long k, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.kthvalue_outf(Tensor self, long k, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.kthvalue_outf(Tensor self, long k, long dim, boolean keepdim, Tensor values, Tensor indices)
static TensorTensorTuple	torch.kthvalue(Tensor self, long k)
static TensorTensorTuple	torch.kthvalue(Tensor self, long k, Dimname dim)
static TensorTensorTuple	torch.kthvalue(Tensor self, long k, Dimname dim, boolean keepdim)
static TensorTensorTuple	torch.kthvalue(Tensor self, long k, long dim, boolean keepdim)
static Tensor	torch.l1_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor grad_input)
static Tensor	torch.l1_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.l1_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.l1_loss(Tensor self, Tensor target)
static Tensor	torch.l1_loss(Tensor input, Tensor target, L1LossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.l1_loss /** about the exact behavior of this functional.
static Tensor	torch.l1_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.l1_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.layer_norm(Tensor input, LayerNormFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.layer_norm /** about the exact behavior of this functional.
static Tensor	torch.layer_norm(Tensor input, long... normalized_shape)
static Tensor	torch.layer_norm(Tensor input, long[] normalized_shape, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enable)
static Tensor	torch.layer_norm(Tensor input, LongArrayRef normalized_shape)
static Tensor	torch.layer_norm(Tensor input, LongArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps, boolean cudnn_enable)
static Tensor	torch.layer_norm(Tensor input, LongVector normalized_shape, Tensor weight, Tensor bias, double eps)
static Tensor	torch.lcm_(Tensor self, Tensor other)
static Tensor	torch.lcm_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.lcm_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.lcm(Tensor self, Tensor other)
static Tensor	torch.ldexp_(Tensor self, Tensor other)
static Tensor	torch.ldexp_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.ldexp_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.ldexp(Tensor self, Tensor other)
static Tensor	torch.le_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.le_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.le_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.le_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.le(Tensor self, Scalar other)
static Tensor	torch.le(Tensor self, Tensor other)
static Tensor	torch.leaky_relu_(Tensor self)
static Tensor	torch.leaky_relu_(Tensor self, Scalar negative_slope)
static Tensor	torch.leaky_relu_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar negative_slope, boolean self_is_result)
static Tensor	torch.leaky_relu_backward_outf(Tensor grad_output, Tensor self, Scalar negative_slope, boolean self_is_result, Tensor grad_input)
static Tensor	torch.leaky_relu_backward(Tensor grad_output, Tensor self, Scalar negative_slope, boolean self_is_result)
static Tensor	torch.leaky_relu_out(Tensor out, Tensor self)
static Tensor	torch.leaky_relu_out(Tensor out, Tensor self, Scalar negative_slope)
static Tensor	torch.leaky_relu_outf(Tensor self, Scalar negative_slope, Tensor out)
static Tensor	torch.leaky_relu(Tensor self)
static Tensor	torch.leaky_relu(Tensor input, double negative_slope, boolean inplace)
static Tensor	torch.leaky_relu(Tensor input, LeakyReLUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.leaky_relu /** about the exact behavior of this functional.
static Tensor	torch.leaky_relu(Tensor self, Scalar negative_slope)
static Tensor	torch.lerp_out(Tensor out, Tensor self, Tensor end, Scalar weight)
static Tensor	torch.lerp_out(Tensor out, Tensor self, Tensor end, Tensor weight)
static Tensor	torch.lerp_outf(Tensor self, Tensor end, Scalar weight, Tensor out)
static Tensor	torch.lerp_outf(Tensor self, Tensor end, Tensor weight, Tensor out)
static Tensor	torch.lerp(Tensor self, Tensor end, Scalar weight)
static Tensor	torch.lerp(Tensor self, Tensor end, Tensor weight)
static Tensor	torch.less_equal_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.less_equal_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.less_equal_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.less_equal_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.less_equal(Tensor self, Scalar other)
static Tensor	torch.less_equal(Tensor self, Tensor other)
static Tensor	torch.less_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.less_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.less_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.less_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.less(Tensor self, Scalar other)
static Tensor	torch.less(Tensor self, Tensor other)
static Tensor	torch.lessThan(Scalar x, Tensor y)
static Tensor	torch.lessThan(Tensor x, Scalar y)
static Tensor	torch.lessThan(Tensor x, Tensor y)
static Tensor	torch.lessThanEquals(Scalar x, Tensor y)
static Tensor	torch.lessThanEquals(Tensor x, Scalar y)
static Tensor	torch.lessThanEquals(Tensor x, Tensor y)
static Tensor	torch.lgamma_out(Tensor out, Tensor self)
static Tensor	torch.lgamma_outf(Tensor self, Tensor out)
static Tensor	torch.lgamma(Tensor self)
static PointerPointer<Tensor>	torch.linalg_cholesky_ex_out(Tensor L, Tensor info, Tensor self)
static PointerPointer<Tensor>	torch.linalg_cholesky_ex_out(Tensor L, Tensor info, Tensor self, boolean upper, boolean check_errors)
static PointerPointer<Tensor>	torch.linalg_cholesky_ex_outf(Tensor self, boolean upper, boolean check_errors, Tensor L, Tensor info)
static TensorTensorTuple	torch.linalg_cholesky_ex(Tensor self)
static TensorTensorTuple	torch.linalg_cholesky_ex(Tensor self, boolean upper, boolean check_errors)
static Tensor	torch.linalg_cholesky_out(Tensor out, Tensor self)
static Tensor	torch.linalg_cholesky_out(Tensor out, Tensor self, boolean upper)
static Tensor	torch.linalg_cholesky_outf(Tensor self, boolean upper, Tensor out)
static Tensor	torch.linalg_cholesky(Tensor self)
static Tensor	torch.linalg_cholesky(Tensor self, boolean upper)
static Tensor	torch.linalg_cond_out(Tensor out, Tensor self)
static Tensor	torch.linalg_cond_out(Tensor out, Tensor self, Pointer p)
static Tensor	torch.linalg_cond_out(Tensor out, Tensor self, ScalarOptional p)
static Tensor	torch.linalg_cond_outf(Tensor self, Pointer p, Tensor out)
static Tensor	torch.linalg_cond_outf(Tensor self, ScalarOptional p, Tensor out)
static Tensor	torch.linalg_cond(Tensor self)
static Tensor	torch.linalg_cond(Tensor self, Pointer p)
static Tensor	torch.linalg_cond(Tensor self, ScalarOptional p)
static Tensor	torch.linalg_det_out(Tensor out, Tensor self)
static Tensor	torch.linalg_det_outf(Tensor self, Tensor out)
static Tensor	torch.linalg_det(Tensor self)
static PointerPointer<Tensor>	torch.linalg_eig_out(Tensor eigenvalues, Tensor eigenvectors, Tensor self)
static PointerPointer<Tensor>	torch.linalg_eig_outf(Tensor self, Tensor eigenvalues, Tensor eigenvectors)
static TensorTensorTuple	torch.linalg_eig(Tensor self)
static PointerPointer<Tensor>	torch.linalg_eigh_out(Tensor eigvals, Tensor eigvecs, Tensor self)
static PointerPointer<Tensor>	torch.linalg_eigh_out(Tensor eigvals, Tensor eigvecs, Tensor self, Pointer UPLO)
static PointerPointer<Tensor>	torch.linalg_eigh_outf(Tensor self, Pointer UPLO, Tensor eigvals, Tensor eigvecs)
static TensorTensorTuple	torch.linalg_eigh(Tensor self)
static TensorTensorTuple	torch.linalg_eigh(Tensor self, Pointer UPLO)
static Tensor	torch.linalg_eigvals_out(Tensor out, Tensor self)
static Tensor	torch.linalg_eigvals_outf(Tensor self, Tensor out)
static Tensor	torch.linalg_eigvals(Tensor self)
static Tensor	torch.linalg_eigvalsh_out(Tensor out, Tensor self)
static Tensor	torch.linalg_eigvalsh_out(Tensor out, Tensor self, Pointer UPLO)
static Tensor	torch.linalg_eigvalsh_outf(Tensor self, Pointer UPLO, Tensor out)
static Tensor	torch.linalg_eigvalsh(Tensor self)
static Tensor	torch.linalg_eigvalsh(Tensor self, Pointer UPLO)
static Tensor	torch.linalg_householder_product_out(Tensor out, Tensor input, Tensor tau)
static Tensor	torch.linalg_householder_product_outf(Tensor input, Tensor tau, Tensor out)
static Tensor	torch.linalg_householder_product(Tensor input, Tensor tau)
static PointerPointer<Tensor>	torch.linalg_inv_ex_out(Tensor inverse, Tensor info, Tensor self)
static PointerPointer<Tensor>	torch.linalg_inv_ex_out(Tensor inverse, Tensor info, Tensor self, boolean check_errors)
static PointerPointer<Tensor>	torch.linalg_inv_ex_outf(Tensor self, boolean check_errors, Tensor inverse, Tensor info)
static TensorTensorTuple	torch.linalg_inv_ex(Tensor self)
static TensorTensorTuple	torch.linalg_inv_ex(Tensor self, boolean check_errors)
static Tensor	torch.linalg_inv_out(Tensor out, Tensor self)
static Tensor	torch.linalg_inv_outf(Tensor self, Tensor out)
static Tensor	torch.linalg_inv(Tensor self)
static PointerPointer<Tensor>	torch.linalg_lstsq_out(Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values, Tensor self, Tensor b)
static PointerPointer<Tensor>	torch.linalg_lstsq_out(Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values, Tensor self, Tensor b, DoubleOptional rcond, Pointer driver)
static PointerPointer<Tensor>	torch.linalg_lstsq_outf(Tensor self, Tensor b, DoubleOptional rcond, Pointer driver, Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values)
static TensorTensorTensorTensorTuple	torch.linalg_lstsq(Tensor self, Tensor b)
static TensorTensorTensorTensorTuple	torch.linalg_lstsq(Tensor self, Tensor b, DoubleOptional rcond, Pointer driver)
static Tensor	torch.linalg_matmul_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.linalg_matmul_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.linalg_matmul(Tensor self, Tensor other)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Pointer ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Pointer ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Scalar ord)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Scalar ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_out(Tensor out, Tensor self, Scalar ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Pointer ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Pointer ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Scalar ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm_outf(Tensor self, Scalar ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_matrix_norm(Tensor self)
static Tensor	torch.linalg_matrix_norm(Tensor self, Pointer ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm(Tensor self, Pointer ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm(Tensor self, Scalar ord)
static Tensor	torch.linalg_matrix_norm(Tensor self, Scalar ord, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_norm(Tensor self, Scalar ord, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_matrix_power_out(Tensor out, Tensor self, long n)
static Tensor	torch.linalg_matrix_power_outf(Tensor self, long n, Tensor out)
static Tensor	torch.linalg_matrix_power(Tensor self, long n)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor self)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor self, DoubleOptional tol, boolean hermitian)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor input, Tensor tol)
static Tensor	torch.linalg_matrix_rank_out(Tensor out, Tensor input, Tensor tol, boolean hermitian)
static Tensor	torch.linalg_matrix_rank_outf(Tensor self, DoubleOptional tol, boolean hermitian, Tensor out)
static Tensor	torch.linalg_matrix_rank_outf(Tensor input, Tensor tol, boolean hermitian, Tensor out)
static Tensor	torch.linalg_matrix_rank(Tensor self)
static Tensor	torch.linalg_matrix_rank(Tensor self, DoubleOptional tol, boolean hermitian)
static Tensor	torch.linalg_matrix_rank(Tensor input, Tensor tol)
static Tensor	torch.linalg_matrix_rank(Tensor input, Tensor tol, boolean hermitian)
static Tensor	torch.linalg_multi_dot_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.linalg_multi_dot_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self, Pointer ord)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self, Pointer ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_norm_out(Tensor out, Tensor self, ScalarOptional ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_norm_outf(Tensor self, Pointer ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_norm_outf(Tensor self, ScalarOptional ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_norm(Tensor self)
static Tensor	torch.linalg_norm(Tensor self, Pointer ord)
static Tensor	torch.linalg_norm(Tensor self, Pointer ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_norm(Tensor self, ScalarOptional ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self, double rcond, boolean hermitian)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self, Tensor rcond)
static Tensor	torch.linalg_pinv_out(Tensor out, Tensor self, Tensor rcond, boolean hermitian)
static Tensor	torch.linalg_pinv_outf(Tensor self, double rcond, boolean hermitian, Tensor out)
static Tensor	torch.linalg_pinv_outf(Tensor self, Tensor rcond, boolean hermitian, Tensor out)
static Tensor	torch.linalg_pinv(Tensor self)
static Tensor	torch.linalg_pinv(Tensor self, double rcond, boolean hermitian)
static Tensor	torch.linalg_pinv(Tensor self, Tensor rcond)
static Tensor	torch.linalg_pinv(Tensor self, Tensor rcond, boolean hermitian)
static PointerPointer<Tensor>	torch.linalg_qr_out(Tensor Q, Tensor R, Tensor self)
static PointerPointer<Tensor>	torch.linalg_qr_out(Tensor Q, Tensor R, Tensor self, Pointer mode)
static PointerPointer<Tensor>	torch.linalg_qr_outf(Tensor self, Pointer mode, Tensor Q, Tensor R)
static TensorTensorTuple	torch.linalg_qr(Tensor self)
static TensorTensorTuple	torch.linalg_qr(Tensor self, Pointer mode)
static PointerPointer<Tensor>	torch.linalg_slogdet_out(Tensor sign, Tensor logabsdet, Tensor self)
static PointerPointer<Tensor>	torch.linalg_slogdet_outf(Tensor self, Tensor sign, Tensor logabsdet)
static TensorTensorTuple	torch.linalg_slogdet(Tensor self)
static Tensor	torch.linalg_solve_out(Tensor out, Tensor input, Tensor other)
static Tensor	torch.linalg_solve_outf(Tensor input, Tensor other, Tensor out)
static Tensor	torch.linalg_solve(Tensor input, Tensor other)
static PointerPointer<Tensor>	torch.linalg_svd_out(Tensor U, Tensor S, Tensor Vh, Tensor self)
static PointerPointer<Tensor>	torch.linalg_svd_out(Tensor U, Tensor S, Tensor Vh, Tensor self, boolean full_matrices)
static PointerPointer<Tensor>	torch.linalg_svd_outf(Tensor self, boolean full_matrices, Tensor U, Tensor S, Tensor Vh)
static TensorTensorTensorTuple	torch.linalg_svd(Tensor self)
static TensorTensorTensorTuple	torch.linalg_svd(Tensor self, boolean full_matrices)
static Tensor	torch.linalg_svdvals_out(Tensor out, Tensor input)
static Tensor	torch.linalg_svdvals_outf(Tensor input, Tensor out)
static Tensor	torch.linalg_svdvals(Tensor input)
static Tensor	torch.linalg_tensorinv_out(Tensor out, Tensor self)
static Tensor	torch.linalg_tensorinv_out(Tensor out, Tensor self, long ind)
static Tensor	torch.linalg_tensorinv_outf(Tensor self, long ind, Tensor out)
static Tensor	torch.linalg_tensorinv(Tensor self)
static Tensor	torch.linalg_tensorinv(Tensor self, long ind)
static Tensor	torch.linalg_tensorsolve_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.linalg_tensorsolve_out(Tensor out, Tensor self, Tensor other, LongArrayRefOptional dims)
static Tensor	torch.linalg_tensorsolve_outf(Tensor self, Tensor other, LongArrayRefOptional dims, Tensor out)
static Tensor	torch.linalg_tensorsolve(Tensor self, Tensor other)
static Tensor	torch.linalg_tensorsolve(Tensor self, Tensor other, LongArrayRefOptional dims)
static Tensor	torch.linalg_vector_norm_out(Tensor out, Tensor self)
static Tensor	torch.linalg_vector_norm_out(Tensor out, Tensor self, Scalar ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linalg_vector_norm_outf(Tensor self, Scalar ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.linalg_vector_norm(Tensor self)
static Tensor	torch.linalg_vector_norm(Tensor self, Scalar ord, LongArrayRefOptional dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.linear_out(Tensor out, Tensor input, Tensor weight)
static Tensor	torch.linear_out(Tensor out, Tensor input, Tensor weight, TensorOptional bias)
static Tensor	torch.linear_outf(Tensor input, Tensor weight, TensorOptional bias, Tensor out)
static Tensor	torch.linear(Tensor input, Tensor weight)
static Tensor	torch.linear(Tensor input, Tensor weight, Tensor bias)
static Tensor	torch.linear(Tensor input, Tensor weight, TensorOptional bias)
static Tensor	torch.linspace_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.linspace_out(Tensor out, Scalar start, Scalar end, LongOptional steps)
static Tensor	torch.linspace_outf(Scalar start, Scalar end, LongOptional steps, Tensor out)
static Tensor	torch.local_response_norm(Tensor input, LocalResponseNormOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.local_response_norm /** about the exact behavior of this functional.
static Tensor	torch.local_response_norm(Tensor input, long size, double alpha, double beta, double k)
static Tensor	torch.log_(Tensor self)
static Tensor	torch.log_out(Tensor out, Tensor self)
static Tensor	torch.log_outf(Tensor self, Tensor out)
static Tensor	torch.log_sigmoid_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor buffer)
static Tensor	torch.log_sigmoid_backward_outf(Tensor grad_output, Tensor self, Tensor buffer, Tensor grad_input)
static Tensor	torch.log_sigmoid_backward(Tensor grad_output, Tensor self, Tensor buffer)
static PointerPointer<Tensor>	torch.log_sigmoid_forward_out(Tensor output, Tensor buffer, Tensor self)
static PointerPointer<Tensor>	torch.log_sigmoid_forward_outf(Tensor self, Tensor output, Tensor buffer)
static TensorTensorTuple	torch.log_sigmoid_forward(Tensor self)
static Tensor	torch.log_sigmoid_out(Tensor out, Tensor self)
static Tensor	torch.log_sigmoid_outf(Tensor self, Tensor out)
static Tensor	torch.log_sigmoid(Tensor self)
static Tensor	torch.log_softmax(Tensor self, Dimname dim)
static Tensor	torch.log_softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.log_softmax(Tensor input, LogSoftmaxFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.log_softmax /** about the exact behavior of this functional.
static Tensor	torch.log_softmax(Tensor self, long dim)
static Tensor	torch.log_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.log(Tensor self)
static Tensor	torch.log10_(Tensor self)
static Tensor	torch.log10_out(Tensor out, Tensor self)
static Tensor	torch.log10_outf(Tensor self, Tensor out)
static Tensor	torch.log10(Tensor self)
static Tensor	torch.log1p_(Tensor self)
static Tensor	torch.log1p_out(Tensor out, Tensor self)
static Tensor	torch.log1p_outf(Tensor self, Tensor out)
static Tensor	torch.log1p(Tensor self)
static Tensor	torch.log2_(Tensor self)
static Tensor	torch.log2_out(Tensor out, Tensor self)
static Tensor	torch.log2_outf(Tensor self, Tensor out)
static Tensor	torch.log2(Tensor self)
static Tensor	torch.logaddexp_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logaddexp_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logaddexp(Tensor self, Tensor other)
static Tensor	torch.logaddexp2_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logaddexp2_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logaddexp2(Tensor self, Tensor other)
static Tensor	torch.logcumsumexp_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.logcumsumexp_out(Tensor out, Tensor self, long dim)
static Tensor	torch.logcumsumexp_outf(Tensor self, Dimname dim, Tensor out)
static Tensor	torch.logcumsumexp_outf(Tensor self, long dim, Tensor out)
static Tensor	torch.logcumsumexp(Tensor self, Dimname dim)
static Tensor	torch.logcumsumexp(Tensor self, long dim)
static Tensor	torch.logdet(Tensor self)
static Tensor	torch.logical_and_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logical_and_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logical_and(Tensor self, Tensor other)
static Tensor	torch.logical_not_out(Tensor out, Tensor self)
static Tensor	torch.logical_not_outf(Tensor self, Tensor out)
static Tensor	torch.logical_not(Tensor self)
static Tensor	torch.logical_or_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logical_or_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logical_or(Tensor self, Tensor other)
static Tensor	torch.logical_xor_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.logical_xor_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.logical_xor(Tensor self, Tensor other)
static Tensor	torch.logit_(Tensor self)
static Tensor	torch.logit_(Tensor self, DoubleOptional eps)
static Tensor	torch.logit_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.logit_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, DoubleOptional eps)
static Tensor	torch.logit_backward_outf(Tensor grad_output, Tensor self, DoubleOptional eps, Tensor grad_input)
static Tensor	torch.logit_backward(Tensor grad_output, Tensor self)
static Tensor	torch.logit_backward(Tensor grad_output, Tensor self, DoubleOptional eps)
static Tensor	torch.logit_out(Tensor out, Tensor self)
static Tensor	torch.logit_out(Tensor out, Tensor self, DoubleOptional eps)
static Tensor	torch.logit_outf(Tensor self, DoubleOptional eps, Tensor out)
static Tensor	torch.logit(Tensor self)
static Tensor	torch.logit(Tensor self, DoubleOptional eps)
static Tensor	torch.logsigmoid(Tensor input)
static Tensor	torch.logspace_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.logspace_out(Tensor out, Scalar start, Scalar end, LongOptional steps, double base)
static Tensor	torch.logspace_outf(Scalar start, Scalar end, LongOptional steps, double base, Tensor out)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.logsumexp_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.logsumexp_outf(Tensor self, DimnameArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.logsumexp_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.logsumexp_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.logsumexp(Tensor self, DimnameArrayRef dim)
static Tensor	torch.logsumexp(Tensor self, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.logsumexp(Tensor self, long... dim)
static Tensor	torch.logsumexp(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.logsumexp(Tensor self, LongArrayRef dim)
static Tensor	torch.logsumexp(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.lp_pool1d(Tensor input, double norm_type, LongPointer kernel_size, LongPointer stride, boolean ceil_mode)
static Tensor	torch.lp_pool1d(Tensor input, LPPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.lp_pool1d /** about the exact behavior of this functional.
static Tensor	torch.lp_pool2d(Tensor input, double norm_type, LongPointer kernel_size, LongPointer stride, boolean ceil_mode)
static Tensor	torch.lp_pool2d(Tensor input, LPPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.lp_pool2d /** about the exact behavior of this functional.
static TensorTensorTuple	torch.lstm_cell(Tensor input, TensorArrayRef hx, Tensor w_ih, Tensor w_hh)
static TensorTensorTuple	torch.lstm_cell(Tensor input, TensorArrayRef hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static TensorTensorTensorTuple	torch.lstm(Tensor input, TensorArrayRef hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static TensorTensorTensorTuple	torch.lstm(Tensor data, Tensor batch_sizes, TensorArrayRef hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static PointerPointer<Tensor>	torch.lstsq_out(Tensor X, Tensor qr, Tensor self, Tensor A)
static PointerPointer<Tensor>	torch.lstsq_outf(Tensor self, Tensor A, Tensor X, Tensor qr)
static TensorTensorTuple	torch.lstsq(Tensor self, Tensor A)
static Tensor	torch.lt_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.lt_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.lt_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.lt_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.lt(Tensor self, Scalar other)
static Tensor	torch.lt(Tensor self, Tensor other)
static Tensor	torch.lu_solve_out(Tensor out, Tensor self, Tensor LU_data, Tensor LU_pivots)
static Tensor	torch.lu_solve_outf(Tensor self, Tensor LU_data, Tensor LU_pivots, Tensor out)
static Tensor	torch.lu_solve(Tensor self, Tensor LU_data, Tensor LU_pivots)
static PointerPointer<Tensor>	torch.lu_unpack_out(Tensor P, Tensor L, Tensor U, Tensor LU_data, Tensor LU_pivots)
static PointerPointer<Tensor>	torch.lu_unpack_out(Tensor P, Tensor L, Tensor U, Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots)
static PointerPointer<Tensor>	torch.lu_unpack_outf(Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots, Tensor P, Tensor L, Tensor U)
static TensorTensorTensorTuple	torch.lu_unpack(Tensor LU_data, Tensor LU_pivots)
static TensorTensorTensorTuple	torch.lu_unpack(Tensor LU_data, Tensor LU_pivots, boolean unpack_data, boolean unpack_pivots)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, byte creation_meta)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, byte creation_meta, boolean allow_tensor_metadata_change)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, torch.CreationMeta creation_meta)
static Tensor	torch.make_variable_differentiable_view(Tensor data, Pointer backward_info, Pointer forward_info, boolean shared_view_info, torch.CreationMeta creation_meta, boolean allow_tensor_metadata_change) Creates a Variable that is a *view* of another (*base*) variable.
static Tensor	torch.make_variable_non_differentiable_view(Tensor base, Tensor data)
static Tensor	torch.make_variable_non_differentiable_view(Tensor base, Tensor data, boolean allow_tensor_metadata_change)
static Tensor	torch.make_variable(Tensor data)
static Tensor	torch.make_variable(Tensor data, boolean requires_grad, boolean allow_tensor_metadata_change) Creates a Variable from the given Tensor, copying its underlying TensorImpl.
static Tensor	torch.make_variable(Tensor data, Edge gradient_edge)
static Tensor	torch.make_variable(Tensor data, Edge gradient_edge, boolean allow_tensor_metadata_change) Creates a Variable from the given Tensor, copying its underlying TensorImpl.
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target)
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, double margin, long reduction)
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, double margin, loss_reduction_t reduction)
static Tensor	torch.margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, MarginRankingLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.margin_ranking_loss /** about the exact behavior of this functional.
static Tensor	torch.masked_fill(Tensor self, Tensor mask, Scalar value)
static Tensor	torch.masked_fill(Tensor self, Tensor mask, Tensor value)
static Tensor	torch.masked_scatter(Tensor self, Tensor mask, Tensor source)
static Tensor	torch.masked_select_backward(Tensor grad, Tensor input, Tensor mask)
static Tensor	torch.masked_select_out(Tensor out, Tensor self, Tensor mask)
static Tensor	torch.masked_select_outf(Tensor self, Tensor mask, Tensor out)
static Tensor	torch.masked_select(Tensor self, Tensor mask)
static Tensor	torch.matmul_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.matmul_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.matmul(Tensor self, Tensor other)
static Tensor	torch.matrix_exp_backward(Tensor self, Tensor grad)
static Tensor	torch.matrix_exp(Tensor self)
static Tensor	torch.matrix_power_out(Tensor out, Tensor self, long n)
static Tensor	torch.matrix_power_outf(Tensor self, long n, Tensor out)
static Tensor	torch.matrix_power(Tensor self, long n)
static Tensor	torch.matrix_rank(Tensor self)
static Tensor	torch.matrix_rank(Tensor self, boolean symmetric)
static Tensor	torch.matrix_rank(Tensor self, double tol)
static Tensor	torch.matrix_rank(Tensor self, double tol, boolean symmetric)
static Tensor	torch.max_out(Tensor out, Tensor self, Tensor other)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, long dim)
static PointerPointer<Tensor>	torch.max_out(Tensor max, Tensor max_values, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.max_outf(Tensor self, Dimname dim, boolean keepdim, Tensor max, Tensor max_values)
static PointerPointer<Tensor>	torch.max_outf(Tensor self, long dim, boolean keepdim, Tensor max, Tensor max_values)
static Tensor	torch.max_outf(Tensor self, Tensor other, Tensor out)
static TensorTensorTuple	torch.max_pool1d_with_indices(Tensor self, long... kernel_size)
static TensorTensorTuple	torch.max_pool1d_with_indices(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool1d_with_indices(Tensor self, LongArrayRef kernel_size)
static TensorTensorTuple	torch.max_pool1d_with_indices(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool1d_with_indices(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool1d_with_indices(Tensor input, MaxPool1dOptions options) See the documentation for torch::nn::functional::MaxPool1dFuncOptions class to learn what /** optional arguments are supported for this functional.
static Tensor	torch.max_pool1d(Tensor self, long... kernel_size)
static Tensor	torch.max_pool1d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.max_pool1d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.max_pool1d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.max_pool1d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static Tensor	torch.max_pool1d(Tensor input, MaxPool1dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_pool1d /** about the exact behavior of this functional.
static Tensor	torch.max_pool2d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool2d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool2d_with_indices_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool2d_with_indices_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool2d_with_indices_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool2d_with_indices_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, long... kernel_size)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.max_pool2d_with_indices_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor out, Tensor indices)
static TensorTensorTuple	torch.max_pool2d_with_indices(Tensor self, long... kernel_size)
static TensorTensorTuple	torch.max_pool2d_with_indices(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool2d_with_indices(Tensor self, LongArrayRef kernel_size)
static TensorTensorTuple	torch.max_pool2d_with_indices(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool2d_with_indices(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool2d_with_indices(Tensor input, MaxPool2dOptions options) See the documentation for torch::nn::functional::MaxPool2dFuncOptions class to learn what /** optional arguments are supported for this functional.
static Tensor	torch.max_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.max_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.max_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.max_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.max_pool2d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static Tensor	torch.max_pool2d(Tensor input, MaxPool2dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_pool2d /** about the exact behavior of this functional.
static Tensor	torch.max_pool3d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool3d_with_indices_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool3d_with_indices_backward_outf(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool3d_with_indices_backward_outf(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices, Tensor grad_input)
static Tensor	torch.max_pool3d_with_indices_backward(Tensor grad_output, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor indices)
static Tensor	torch.max_pool3d_with_indices_backward(Tensor grad_output, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor indices)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, long... kernel_size)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_out(Tensor out, Tensor indices, Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_outf(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode, Tensor out, Tensor indices)
static PointerPointer<Tensor>	torch.max_pool3d_with_indices_outf(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode, Tensor out, Tensor indices)
static TensorTensorTuple	torch.max_pool3d_with_indices(Tensor self, long... kernel_size)
static TensorTensorTuple	torch.max_pool3d_with_indices(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool3d_with_indices(Tensor self, LongArrayRef kernel_size)
static TensorTensorTuple	torch.max_pool3d_with_indices(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool3d_with_indices(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static TensorTensorTuple	torch.max_pool3d_with_indices(Tensor input, MaxPool3dOptions options) See the documentation for torch::nn::functional::MaxPool3dFuncOptions class to learn what /** optional arguments are supported for this functional.
static Tensor	torch.max_pool3d(Tensor self, long... kernel_size)
static Tensor	torch.max_pool3d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.max_pool3d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.max_pool3d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.max_pool3d(Tensor input, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongPointer dilation, boolean ceil_mode)
static Tensor	torch.max_pool3d(Tensor input, MaxPool3dOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_pool3d /** about the exact behavior of this functional.
static Tensor	torch.max_unpool1d(Tensor input, Tensor indices, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongVectorOptional output_size)
static Tensor	torch.max_unpool1d(Tensor input, Tensor indices, MaxUnpool1dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_unpool1d /** about the exact behavior of this functional.
static Tensor	torch.max_unpool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, long[] output_size, Tensor grad_input)
static Tensor	torch.max_unpool2d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, Tensor grad_input)
static Tensor	torch.max_unpool2d_backward(Tensor grad_output, Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d_backward(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d_out(Tensor out, Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d_out(Tensor out, Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d_outf(Tensor self, Tensor indices, long[] output_size, Tensor out)
static Tensor	torch.max_unpool2d_outf(Tensor self, Tensor indices, LongArrayRef output_size, Tensor out)
static Tensor	torch.max_unpool2d(Tensor self, Tensor indices, long... output_size)
static Tensor	torch.max_unpool2d(Tensor self, Tensor indices, LongArrayRef output_size)
static Tensor	torch.max_unpool2d(Tensor input, Tensor indices, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongVectorOptional output_size)
static Tensor	torch.max_unpool2d(Tensor input, Tensor indices, MaxUnpool2dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_unpool2d /** about the exact behavior of this functional.
static Tensor	torch.max_unpool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, long[] output_size, long[] stride, long[] padding, Tensor grad_input)
static Tensor	torch.max_unpool3d_backward_outf(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.max_unpool3d_backward(Tensor grad_output, Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d_backward(Tensor grad_output, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d_out(Tensor out, Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d_out(Tensor out, Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d_outf(Tensor self, Tensor indices, long[] output_size, long[] stride, long[] padding, Tensor out)
static Tensor	torch.max_unpool3d_outf(Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.max_unpool3d(Tensor self, Tensor indices, long[] output_size, long[] stride, long... padding)
static Tensor	torch.max_unpool3d(Tensor self, Tensor indices, LongArrayRef output_size, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.max_unpool3d(Tensor input, Tensor indices, LongPointer kernel_size, LongPointer stride, LongPointer padding, LongVectorOptional output_size)
static Tensor	torch.max_unpool3d(Tensor input, Tensor indices, MaxUnpool3dFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.max_unpool3d /** about the exact behavior of this functional.
static Tensor	torch.max(Tensor self)
static TensorTensorTuple	torch.max(Tensor self, Dimname dim)
static TensorTensorTuple	torch.max(Tensor self, Dimname dim, boolean keepdim)
static TensorTensorTuple	torch.max(Tensor self, long dim)
static TensorTensorTuple	torch.max(Tensor self, long dim, boolean keepdim)
static Tensor	torch.max(Tensor self, Tensor other)
static Tensor	torch.maximum_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.maximum_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.maximum(Tensor self, Tensor other)
static Pointer	torch.maybe_data_ptr(Tensor tensor)
static Tensor	torch.mean_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.mean_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.mean_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.mean_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean_outf(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.mean_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.mean_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.mean(Tensor self)
static Tensor	torch.mean(Tensor self, DimnameArrayRef dim)
static Tensor	torch.mean(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean(Tensor self, long... dim)
static Tensor	torch.mean(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean(Tensor self, LongArrayRef dim)
static Tensor	torch.mean(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.mean(Tensor self, ScalarTypeOptional dtype)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.median_out(Tensor values, Tensor indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.median_outf(Tensor self, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.median_outf(Tensor self, long dim, boolean keepdim, Tensor values, Tensor indices)
static Tensor	torch.median(Tensor self)
static TensorTensorTuple	torch.median(Tensor self, Dimname dim)
static TensorTensorTuple	torch.median(Tensor self, Dimname dim, boolean keepdim)
static TensorTensorTuple	torch.median(Tensor self, long dim)
static TensorTensorTuple	torch.median(Tensor self, long dim, boolean keepdim)
static Tensor	torch.min_out(Tensor out, Tensor self, Tensor other)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.min_out(Tensor min, Tensor min_indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.min_outf(Tensor self, Dimname dim, boolean keepdim, Tensor min, Tensor min_indices)
static PointerPointer<Tensor>	torch.min_outf(Tensor self, long dim, boolean keepdim, Tensor min, Tensor min_indices)
static Tensor	torch.min_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.min(Tensor self)
static TensorTensorTuple	torch.min(Tensor self, Dimname dim)
static TensorTensorTuple	torch.min(Tensor self, Dimname dim, boolean keepdim)
static TensorTensorTuple	torch.min(Tensor self, long dim)
static TensorTensorTuple	torch.min(Tensor self, long dim, boolean keepdim)
static Tensor	torch.min(Tensor self, Tensor other)
static Tensor	torch.minimum_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.minimum_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.minimum(Tensor self, Tensor other)
static TensorTensorTensorTuple	torch.miopen_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_var, double epsilon)
static TensorTensorTensorTuple	torch.miopen_batch_norm(Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static Tensor	torch.miopen_convolution_backward_bias(Tensor grad_output)
static Tensor	torch.miopen_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static TensorTensorTensorTuple	torch.miopen_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.miopen_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, BoolPointer output_mask)
static Tensor	torch.miopen_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_backward_input(Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static TensorTensorTensorTuple	torch.miopen_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.miopen_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, BoolPointer output_mask)
static Tensor	torch.miopen_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] output_padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution_transpose(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_weight(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution_backward_weight(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static TensorTensorTensorTuple	torch.miopen_depthwise_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.miopen_depthwise_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic, BoolPointer output_mask)
static Tensor	torch.miopen_depthwise_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups, boolean benchmark, boolean deterministic)
static Tensor	torch.miopen_depthwise_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean benchmark, boolean deterministic)
static TensorTensorTensorTensorVectorTuple	torch.miopen_rnn_backward(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static TensorTensorTensorTensorVectorTuple	torch.miopen_rnn_backward(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor weight_buf, Tensor hx, TensorOptional cx, Tensor output, TensorOptional grad_output, TensorOptional grad_hy, TensorOptional grad_cy, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state, Tensor reserve, BoolPointer output_mask)
static TensorTensorTensorTensorTensorTuple	torch.miopen_rnn(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state)
static TensorTensorTensorTensorTensorTuple	torch.miopen_rnn(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state)
static Tensor	torch.mish_(Tensor self)
static Tensor	torch.mish_backward(Tensor grad_output, Tensor self)
static Tensor	torch.mish_out(Tensor out, Tensor self)
static Tensor	torch.mish_outf(Tensor self, Tensor out)
static Tensor	torch.mish(Tensor self)
static Tensor	torch.mkldnn_adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self)
static Tensor	torch.mkldnn_adaptive_avg_pool2d(Tensor self, long... output_size)
static Tensor	torch.mkldnn_adaptive_avg_pool2d(Tensor self, LongArrayRef output_size)
static Tensor	torch.mkldnn_convolution_backward_input(long[] self_size, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, boolean bias_defined)
static Tensor	torch.mkldnn_convolution_backward_input(LongArrayRef self_size, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean bias_defined)
static TensorTensorTuple	torch.mkldnn_convolution_backward_weights(long[] weight_size, Tensor grad_output, Tensor self, long[] padding, long[] stride, long[] dilation, long groups, boolean bias_defined)
static TensorTensorTuple	torch.mkldnn_convolution_backward_weights(LongArrayRef weight_size, Tensor grad_output, Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, boolean bias_defined)
static TensorTensorTensorTuple	torch.mkldnn_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, long[] padding, long[] stride, long[] dilation, long groups, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.mkldnn_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups, BoolPointer output_mask)
static Tensor	torch.mkldnn_convolution(Tensor self, Tensor weight, TensorOptional bias, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_convolution(Tensor self, Tensor weight, TensorOptional bias, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_linear_backward_input(long[] input_size, Tensor grad_output, Tensor weight)
static Tensor	torch.mkldnn_linear_backward_input(LongArrayRef input_size, Tensor grad_output, Tensor weight)
static TensorTensorTuple	torch.mkldnn_linear_backward_weights(Tensor grad_output, Tensor input, Tensor weight, boolean bias_defined)
static TensorTensorTensorTuple	torch.mkldnn_linear_backward(Tensor self, Tensor grad_output, Tensor weight, BoolPointer output_mask)
static Tensor	torch.mkldnn_linear(Tensor self, Tensor weight)
static Tensor	torch.mkldnn_linear(Tensor self, Tensor weight, TensorOptional bias)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, long... kernel_size)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, long... kernel_size)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, long... kernel_size)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.mkldnn_max_pool3d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.mkldnn_reorder_conv2d_weight(Tensor self)
static Tensor	torch.mkldnn_reorder_conv2d_weight(Tensor self, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_reorder_conv2d_weight(Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mkldnn_reorder_conv3d_weight(Tensor self)
static Tensor	torch.mkldnn_reorder_conv3d_weight(Tensor self, long[] padding, long[] stride, long[] dilation, long groups)
static Tensor	torch.mkldnn_reorder_conv3d_weight(Tensor self, LongArrayRef padding, LongArrayRef stride, LongArrayRef dilation, long groups)
static Tensor	torch.mm_out(Tensor out, Tensor self, Tensor mat2)
static Tensor	torch.mm_outf(Tensor self, Tensor mat2, Tensor out)
static Tensor	torch.mm(Tensor self, Tensor mat2)
static Tensor	torch.mod(Scalar x, Tensor y)
static Tensor	torch.mod(Tensor x, Scalar y)
static Tensor	torch.mod(Tensor x, Tensor y)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.mode_out(Tensor values, Tensor indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.mode_outf(Tensor self, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.mode_outf(Tensor self, long dim, boolean keepdim, Tensor values, Tensor indices)
static TensorTensorTuple	torch.mode(Tensor self)
static TensorTensorTuple	torch.mode(Tensor self, Dimname dim)
static TensorTensorTuple	torch.mode(Tensor self, Dimname dim, boolean keepdim)
static TensorTensorTuple	torch.mode(Tensor self, long dim, boolean keepdim)
static Tensor	torch.moveaxis(Tensor self, long[] source, long... destination)
static Tensor	torch.moveaxis(Tensor self, LongArrayRef source, LongArrayRef destination)
static Tensor	torch.moveaxis(Tensor self, long source, long destination)
static Tensor	torch.movedim(Tensor self, long[] source, long... destination)
static Tensor	torch.movedim(Tensor self, LongArrayRef source, LongArrayRef destination)
static Tensor	torch.movedim(Tensor self, long source, long destination)
static Tensor	torch.mse_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor grad_input)
static Tensor	torch.mse_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.mse_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.mse_loss(Tensor self, Tensor target)
static Tensor	torch.mse_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.mse_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.mse_loss(Tensor input, Tensor target, MSELossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.mse_loss /** about the exact behavior of this functional.
static Tensor	torch.msort_out(Tensor out, Tensor self)
static Tensor	torch.msort_outf(Tensor self, Tensor out)
static Tensor	torch.msort(Tensor self)
static Tensor	torch.mul_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.mul_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.mul(Tensor self, Scalar other)
static Tensor	torch.mul(Tensor self, Tensor other)
static TensorTensorTuple	torch.multi_head_attention_forward(Tensor query, Tensor key, Tensor value, long embed_dim_to_check, long num_heads, Tensor in_proj_weight, Tensor in_proj_bias, Tensor bias_k, Tensor bias_v, boolean add_zero_attn, double dropout_p, Tensor out_proj_weight, Tensor out_proj_bias)
static TensorTensorTuple	torch.multi_head_attention_forward(Tensor query, Tensor key, Tensor value, long embed_dim_to_check, long num_heads, Tensor in_proj_weight, Tensor in_proj_bias, Tensor bias_k, Tensor bias_v, boolean add_zero_attn, double dropout_p, Tensor out_proj_weight, Tensor out_proj_bias, boolean training, Tensor key_padding_mask, boolean need_weights, Tensor attn_mask, boolean use_separate_proj_weight, Tensor q_proj_weight, Tensor k_proj_weight, Tensor v_proj_weight, Tensor static_k, Tensor static_v)
static TensorTensorTuple	torch.multi_head_attention_forward(Tensor query, Tensor key, Tensor value, MultiheadAttentionForwardFuncOptions options)
static Tensor	torch.multi_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin)
static Tensor	torch.multi_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction, Tensor grad_input)
static Tensor	torch.multi_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin)
static Tensor	torch.multi_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.multi_margin_loss_out(Tensor out, Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multi_margin_loss_outf(Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction, Tensor out)
static Tensor	torch.multi_margin_loss(Tensor self, Tensor target)
static Tensor	torch.multi_margin_loss(Tensor input, Tensor target, long p, double margin, Tensor weight, loss_reduction_t reduction)
static Tensor	torch.multi_margin_loss(Tensor input, Tensor target, MultiMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.multi_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.multi_margin_loss(Tensor self, Tensor target, Scalar p, Scalar margin, TensorOptional weight, long reduction)
static Tensor	torch.multilabel_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor is_target)
static Tensor	torch.multilabel_margin_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor is_target, Tensor grad_input)
static Tensor	torch.multilabel_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor is_target)
static PointerPointer<Tensor>	torch.multilabel_margin_loss_forward_out(Tensor output, Tensor is_target, Tensor self, Tensor target, long reduction)
static PointerPointer<Tensor>	torch.multilabel_margin_loss_forward_outf(Tensor self, Tensor target, long reduction, Tensor output, Tensor is_target)
static TensorTensorTuple	torch.multilabel_margin_loss_forward(Tensor self, Tensor target, long reduction)
static Tensor	torch.multilabel_margin_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.multilabel_margin_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.multilabel_margin_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.multilabel_margin_loss(Tensor self, Tensor target)
static Tensor	torch.multilabel_margin_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.multilabel_margin_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.multilabel_margin_loss(Tensor input, Tensor target, MultiLabelMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.multilabel_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.multilabel_soft_margin_loss(Tensor input, Tensor target)
static Tensor	torch.multilabel_soft_margin_loss(Tensor input, Tensor target, MultiLabelSoftMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.multilabel_soft_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.multilabel_soft_margin_loss(Tensor input, Tensor target, Tensor weight, loss_reduction_t reduction)
static Tensor	torch.multinomial_out(Tensor out, Tensor self, long num_samples)
static Tensor	torch.multinomial_out(Tensor out, Tensor self, long num_samples, boolean replacement, GeneratorOptional generator)
static Tensor	torch.multinomial_outf(Tensor self, long num_samples, boolean replacement, GeneratorOptional generator, Tensor out)
static Tensor	torch.multinomial(Tensor self, long num_samples)
static Tensor	torch.multinomial(Tensor self, long num_samples, boolean replacement, GeneratorOptional generator)
static Tensor	torch.multiply_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.multiply_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.multiply(Scalar x, Tensor y)
static Tensor	torch.multiply(Tensor self, Scalar other)
static Tensor	torch.multiply(Tensor self, Tensor other)
static Tensor	torch.mv_out(Tensor out, Tensor self, Tensor vec)
static Tensor	torch.mv_outf(Tensor self, Tensor vec, Tensor out)
static Tensor	torch.mv(Tensor self, Tensor vec)
static Tensor	torch.mvlgamma_out(Tensor out, Tensor self, long p)
static Tensor	torch.mvlgamma_outf(Tensor self, long p, Tensor out)
static Tensor	torch.mvlgamma(Tensor self, long p)
static Tensor	torch.nan_to_num_(Tensor self)
static Tensor	torch.nan_to_num_(Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
static Tensor	torch.nan_to_num_out(Tensor out, Tensor self)
static Tensor	torch.nan_to_num_out(Tensor out, Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
static Tensor	torch.nan_to_num_outf(Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf, Tensor out)
static Tensor	torch.nan_to_num(Tensor self)
static Tensor	torch.nan_to_num(Tensor self, DoubleOptional nan, DoubleOptional posinf, DoubleOptional neginf)
static Tensor	torch.nanmean_out(Tensor out, Tensor self)
static Tensor	torch.nanmean_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nanmean_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nanmean_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nanmean_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nanmean(Tensor self)
static Tensor	torch.nanmean(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nanmean(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean keepdim)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, long dim)
static PointerPointer<Tensor>	torch.nanmedian_out(Tensor values, Tensor indices, Tensor self, long dim, boolean keepdim)
static PointerPointer<Tensor>	torch.nanmedian_outf(Tensor self, Dimname dim, boolean keepdim, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.nanmedian_outf(Tensor self, long dim, boolean keepdim, Tensor values, Tensor indices)
static Tensor	torch.nanmedian(Tensor self)
static TensorTensorTuple	torch.nanmedian(Tensor self, Dimname dim)
static TensorTensorTuple	torch.nanmedian(Tensor self, Dimname dim, boolean keepdim)
static TensorTensorTuple	torch.nanmedian(Tensor self, long dim)
static TensorTensorTuple	torch.nanmedian(Tensor self, long dim, boolean keepdim)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, double q)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, Tensor q)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nanquantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.nanquantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.nanquantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.nanquantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.nanquantile(Tensor self, double q)
static Tensor	torch.nanquantile(Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nanquantile(Tensor self, Tensor q)
static Tensor	torch.nanquantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.nanquantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.nansum_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.nansum_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.nansum_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nansum_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.nansum(Tensor self)
static Tensor	torch.nansum(Tensor self, long... dim)
static Tensor	torch.nansum(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum(Tensor self, LongArrayRef dim)
static Tensor	torch.nansum(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.nansum(Tensor self, ScalarTypeOptional dtype)
static Tensor	torch.narrow_copy_out(Tensor out, Tensor self, long dim, long start, long length)
static Tensor	torch.narrow_copy_outf(Tensor self, long dim, long start, long length, Tensor out)
static Tensor	torch.narrow_copy(Tensor self, long dim, long start, long length)
static Tensor	torch.narrow(Tensor self, long dim, long start, long length)
static Tensor	torch.narrow(Tensor self, long dim, Tensor start, long length)
static TensorTensorTensorTuple	torch.native_batch_norm_backward(Tensor grad_out, Tensor input, TensorOptional weight, TensorOptional running_mean, TensorOptional running_var, TensorOptional save_mean, TensorOptional save_invstd, boolean train, double eps, BoolPointer output_mask)
static PointerPointer<Tensor>	torch.native_batch_norm_out(Tensor out, Tensor save_mean, Tensor save_invstd, Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps)
static PointerPointer<Tensor>	torch.native_batch_norm_outf(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps, Tensor out, Tensor save_mean, Tensor save_invstd)
static TensorTensorTensorTuple	torch.native_batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double momentum, double eps)
static TensorTensorTensorTuple	torch.native_group_norm_backward(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, TensorOptional weight, long N, long C, long HxW, long group, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.native_group_norm(Tensor input, TensorOptional weight, TensorOptional bias, long N, long C, long HxW, long group, double eps)
static TensorTensorTensorTuple	torch.native_layer_norm_backward(Tensor grad_out, Tensor input, long[] normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.native_layer_norm_backward(Tensor grad_out, Tensor input, LongArrayRef normalized_shape, Tensor mean, Tensor rstd, TensorOptional weight, TensorOptional bias, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.native_layer_norm(Tensor input, long[] normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static TensorTensorTensorTuple	torch.native_layer_norm(Tensor input, LongArrayRef normalized_shape, TensorOptional weight, TensorOptional bias, double eps)
static Tensor	torch.native_norm(Tensor self)
static Tensor	torch.native_norm(Tensor self, Scalar p)
static Tensor	torch.native_norm(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.native_norm(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.ne_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.ne_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.ne_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.ne_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.ne(Tensor self, Scalar other)
static Tensor	torch.ne(Tensor self, Tensor other)
static Tensor	torch.neg_(Tensor self)
static Tensor	torch.neg_out(Tensor out, Tensor self)
static Tensor	torch.neg_outf(Tensor self, Tensor out)
static Tensor	torch.neg(Tensor self)
static Tensor	torch.negative_(Tensor self)
static Tensor	torch.negative_out(Tensor out, Tensor self)
static Tensor	torch.negative_outf(Tensor self, Tensor out)
static Tensor	torch.negative(Tensor self)
static Tensor	torch.nextafter_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.nextafter_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.nextafter(Tensor self, Tensor other)
static Tensor	torch.nll_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static PointerPointer<Tensor>	torch.nll_loss_forward_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static PointerPointer<Tensor>	torch.nll_loss_forward_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor output, Tensor total_weight)
static TensorTensorTuple	torch.nll_loss_forward(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_nd(Tensor self, Tensor target)
static Tensor	torch.nll_loss_nd(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.nll_loss_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor out)
static Tensor	torch.nll_loss(Tensor self, Tensor target)
static Tensor	torch.nll_loss(Tensor input, Tensor target, NLLLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.nll_loss /** about the exact behavior of this functional.
static Tensor	torch.nll_loss(Tensor input, Tensor target, Tensor weight, long ignore_index, loss_reduction_t reduction)
static Tensor	torch.nll_loss(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static Tensor	torch.nll_loss2d_backward_outf(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight, Tensor grad_input)
static Tensor	torch.nll_loss2d_backward(Tensor grad_output, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor total_weight)
static PointerPointer<Tensor>	torch.nll_loss2d_forward_out(Tensor output, Tensor total_weight, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static PointerPointer<Tensor>	torch.nll_loss2d_forward_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor output, Tensor total_weight)
static TensorTensorTuple	torch.nll_loss2d_forward(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.nll_loss2d_out(Tensor out, Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static Tensor	torch.nll_loss2d_outf(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index, Tensor out)
static Tensor	torch.nll_loss2d(Tensor self, Tensor target)
static Tensor	torch.nll_loss2d(Tensor self, Tensor target, TensorOptional weight, long reduction, long ignore_index)
static TensorVector	torch.nonzero_numpy(Tensor self)
static Tensor	torch.nonzero_out(Tensor out, Tensor self)
static Tensor	torch.nonzero_outf(Tensor self, Tensor out)
static Tensor	torch.nonzero(Tensor self)
static Tensor	torch.norm_except_dim(Tensor v)
static Tensor	torch.norm_except_dim(Tensor v, long pow, long dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameArrayRef dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, long... dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, long[] dim, boolean keepdim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, LongArrayRef dim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim)
static Tensor	torch.norm_out(Tensor out, Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.norm_outf(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype, Tensor out)
static Tensor	torch.norm(Tensor self)
static Tensor	torch.norm(Tensor self, Scalar p)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameArrayRef dim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, DimnameArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, long... dim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, long[] dim, boolean keepdim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, long[] dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, LongArrayRef dim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim)
static Tensor	torch.norm(Tensor self, ScalarOptional p, LongArrayRef dim, boolean keepdim, torch.ScalarType dtype)
static Tensor	torch.norm(Tensor self, ScalarOptional p, torch.ScalarType dtype)
static Tensor	torch.normal_(Tensor tensor)
static Tensor	torch.normal_(Tensor tensor, double mean, double std) Fills the given 2-dimensional matrix with values drawn from a normal distribution parameterized by mean and std.
static Tensor	torch.normal_out(Tensor out, double mean, double std, long... size)
static Tensor	torch.normal_out(Tensor out, double mean, double std, long[] size, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, double mean, double std, LongArrayRef size)
static Tensor	torch.normal_out(Tensor out, double mean, double std, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, double mean, Tensor std)
static Tensor	torch.normal_out(Tensor out, double mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, Tensor mean)
static Tensor	torch.normal_out(Tensor out, Tensor mean, double std, GeneratorOptional generator)
static Tensor	torch.normal_out(Tensor out, Tensor mean, Tensor std)
static Tensor	torch.normal_out(Tensor out, Tensor mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normal_outf(double mean, double std, long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(double mean, double std, LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(double mean, Tensor std, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(Tensor mean, double std, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal_outf(Tensor mean, Tensor std, GeneratorOptional generator, Tensor out)
static Tensor	torch.normal(double mean, Tensor std)
static Tensor	torch.normal(double mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normal(Tensor mean)
static Tensor	torch.normal(Tensor mean, double std, GeneratorOptional generator)
static Tensor	torch.normal(Tensor mean, Tensor std)
static Tensor	torch.normal(Tensor mean, Tensor std, GeneratorOptional generator)
static Tensor	torch.normalize(Tensor input)
static Tensor	torch.normalize(Tensor input, double p, long dim, double eps, TensorOptional out)
static Tensor	torch.normalize(Tensor input, NormalizeFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.normalize /** about the exact behavior of this functional.
static Tensor	torch.not_equal_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.not_equal_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.not_equal_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.not_equal_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.not_equal(Tensor self, Scalar other)
static Tensor	torch.not_equal(Tensor self, Tensor other)
static Tensor	torch.notEquals(Scalar x, Tensor y)
static Tensor	torch.notEquals(Tensor x, Scalar y)
static Tensor	torch.notEquals(Tensor x, Tensor y)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, boolean keepdim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.nuclear_norm_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.nuclear_norm_outf(Tensor self, boolean keepdim, Tensor out)
static Tensor	torch.nuclear_norm_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.nuclear_norm_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.nuclear_norm(Tensor self)
static Tensor	torch.nuclear_norm(Tensor self, boolean keepdim)
static Tensor	torch.nuclear_norm(Tensor self, long... dim)
static Tensor	torch.nuclear_norm(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.nuclear_norm(Tensor self, LongArrayRef dim)
static Tensor	torch.nuclear_norm(Tensor self, LongArrayRef dim, boolean keepdim)
static long	torch.numel(Tensor tensor)
static Tensor	torch.one_hot(Tensor self)
static Tensor	torch.one_hot(Tensor self, long num_classes)
static Tensor	torch.ones_(Tensor tensor) Fills the given tensor with ones.
static Tensor	torch.ones_like(Tensor self)
static Tensor	torch.ones_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.ones_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.ones_out(Tensor out, long... size)
static Tensor	torch.ones_out(Tensor out, LongArrayRef size)
static Tensor	torch.ones_outf(long[] size, Tensor out)
static Tensor	torch.ones_outf(LongArrayRef size, Tensor out)
static Tensor	torch.or(Scalar x, Tensor y)
static Tensor	torch.or(Tensor x, Scalar y)
static Tensor	torch.or(Tensor x, Tensor y)
static Tensor	torch.orgqr_out(Tensor out, Tensor self, Tensor input2)
static Tensor	torch.orgqr_outf(Tensor self, Tensor input2, Tensor out)
static Tensor	torch.orgqr(Tensor self, Tensor input2)
static Tensor	torch.ormqr_out(Tensor out, Tensor self, Tensor input2, Tensor input3)
static Tensor	torch.ormqr_out(Tensor out, Tensor self, Tensor input2, Tensor input3, boolean left, boolean transpose)
static Tensor	torch.ormqr_outf(Tensor self, Tensor input2, Tensor input3, boolean left, boolean transpose, Tensor out)
static Tensor	torch.ormqr(Tensor self, Tensor input2, Tensor input3)
static Tensor	torch.ormqr(Tensor self, Tensor input2, Tensor input3, boolean left, boolean transpose)
static Tensor	torch.orthogonal_(Tensor tensor)
static Tensor	torch.orthogonal_(Tensor tensor, double gain) Fills the input Tensor with a (semi) orthogonal matrix, as described in "Exact solutions to the nonlinear dynamics of learning in deep linear neural networks" - Saxe, A.
static Tensor	torch.outer_out(Tensor out, Tensor self, Tensor vec2)
static Tensor	torch.outer_outf(Tensor self, Tensor vec2, Tensor out)
static Tensor	torch.outer(Tensor self, Tensor vec2)
static PackedSequence	torch.pack_padded_sequence(Tensor input, Tensor lengths)
static PackedSequence	torch.pack_padded_sequence(Tensor input, Tensor lengths, boolean batch_first, boolean enforce_sorted) Packs a Tensor containing padded sequences of variable length.
static Tensor	torch.pad(Tensor input, long[] pad, pad_mode_t mode, double value)
static Tensor	torch.pad(Tensor input, LongArrayRef pad, pad_mode_t mode, double value)
static Tensor	torch.pad(Tensor input, PadFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.pad /** about the exact behavior of this functional.
static Tensor	torch.pairwise_distance(Tensor x1, Tensor x2)
static Tensor	torch.pairwise_distance(Tensor x1, Tensor x2, double p, double eps, boolean keepdim)
static Tensor	torch.pairwise_distance(Tensor x1, Tensor x2, PairwiseDistanceOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.pairwise_distance /** about the exact behavior of this functional.
static Tensor	torch.parameters_to_vector(Tensor parameters)
static Tensor	torch.pdist(Tensor self)
static Tensor	torch.pdist(Tensor self, double p)
static Tensor	torch.permute(Tensor self, long... dims)
static Tensor	torch.permute(Tensor self, LongArrayRef dims)
static Tensor	torch.pinverse(Tensor self)
static Tensor	torch.pinverse(Tensor self, double rcond)
static Tensor	torch.pixel_shuffle(Tensor self, long upscale_factor)
static Tensor	torch.pixel_shuffle(Tensor input, PixelShuffleOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.pixel_shuffle /** about the exact behavior of this functional.
static Tensor	torch.pixel_unshuffle(Tensor self, long downscale_factor)
static Tensor	torch.pixel_unshuffle(Tensor input, PixelUnshuffleOptions options)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target, boolean log_input, boolean full, double eps, long reduction)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target, boolean log_input, boolean full, double eps, loss_reduction_t reduction)
static Tensor	torch.poisson_nll_loss(Tensor input, Tensor target, PoissonNLLLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.poisson_nll_loss /** about the exact behavior of this functional.
static Tensor	torch.poisson(Tensor self)
static Tensor	torch.poisson(Tensor self, GeneratorOptional generator)
static Tensor	torch.polar_out(Tensor out, Tensor abs, Tensor angle)
static Tensor	torch.polar_outf(Tensor abs, Tensor angle, Tensor out)
static Tensor	torch.polar(Tensor abs, Tensor angle)
static Tensor	torch.polygamma_out(Tensor out, long n, Tensor self)
static Tensor	torch.polygamma_outf(long n, Tensor self, Tensor out)
static Tensor	torch.polygamma(long n, Tensor self)
static Tensor	torch.positive(Tensor self)
static Tensor	torch.pow_out(Tensor out, Scalar self, Tensor exponent)
static Tensor	torch.pow_out(Tensor out, Tensor self, Scalar exponent)
static Tensor	torch.pow_out(Tensor out, Tensor self, Tensor exponent)
static Tensor	torch.pow_outf(Scalar self, Tensor exponent, Tensor out)
static Tensor	torch.pow_outf(Tensor self, Scalar exponent, Tensor out)
static Tensor	torch.pow_outf(Tensor self, Tensor exponent, Tensor out)
static Tensor	torch.pow(Scalar self, Tensor exponent)
static Tensor	torch.pow(Tensor self, Scalar exponent)
static Tensor	torch.pow(Tensor self, Tensor exponent)
static TensorTensorTuple	torch.prelu_backward(Tensor grad_output, Tensor self, Tensor weight)
static Tensor	torch.prelu(Tensor self, Tensor weight)
static Pointer	torch.print(Pointer stream, Tensor tensor, long linesize)
static void	torch.print(Tensor t)
static void	torch.print(Tensor t, long linesize)
static Tensor	torch.prod_out(Tensor out, Tensor self, Dimname dim)
static Tensor	torch.prod_out(Tensor out, Tensor self, Dimname dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod_out(Tensor out, Tensor self, long dim)
static Tensor	torch.prod_out(Tensor out, Tensor self, long dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod_outf(Tensor self, Dimname dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.prod_outf(Tensor self, long dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.prod(Tensor self)
static Tensor	torch.prod(Tensor self, Dimname dim)
static Tensor	torch.prod(Tensor self, Dimname dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod(Tensor self, long dim)
static Tensor	torch.prod(Tensor self, long dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.prod(Tensor self, ScalarTypeOptional dtype)
static void	torch.propagate_names_except(Tensor result, Tensor src, long... excluded_idxs)
static void	torch.propagate_names_except(Tensor result, Tensor src, LongArrayRef excluded_idxs)
static DimnameVector	torch.propagate_names_for_addmm(Tensor m1, Tensor m2, Tensor bias)
static DimnameVector	torch.propagate_names_for_addmv(Tensor mat, Tensor vec, Tensor bias)
static void	torch.propagate_names_for_expand(Tensor result, Tensor self)
static void	torch.propagate_names_for_reduction(Tensor result, Tensor src, long[] excluded_idxs, boolean keepdim)
static void	torch.propagate_names_for_reduction(Tensor result, Tensor src, LongArrayRef excluded_idxs, boolean keepdim)
static Tensor	torch.propagate_names_if_nonempty(Tensor result, DimnameArrayRef maybe_names)
static Tensor	torch.propagate_names_if_nonempty(Tensor result, DimnameArrayRef maybe_names, boolean validate_names)
static Tensor	torch.propagate_names(Tensor result, DimnameArrayRef names)
static Tensor	torch.propagate_names(Tensor result, DimnameArrayRef names, boolean validate_names)
static void	torch.propagate_names(Tensor result, Tensor src)
static Tensor	torch.put(Tensor self, Tensor index, Tensor source)
static Tensor	torch.put(Tensor self, Tensor index, Tensor source, boolean accumulate)
static long	torch.q_per_channel_axis(Tensor self)
static Tensor	torch.q_per_channel_scales(Tensor self)
static Tensor	torch.q_per_channel_zero_points(Tensor self)
static double	torch.q_scale(Tensor self)
static long	torch.q_zero_point(Tensor self)
static PointerPointer<Tensor>	torch.qr_out(Tensor Q, Tensor R, Tensor self)
static PointerPointer<Tensor>	torch.qr_out(Tensor Q, Tensor R, Tensor self, boolean some)
static PointerPointer<Tensor>	torch.qr_outf(Tensor self, boolean some, Tensor Q, Tensor R)
static TensorTensorTuple	torch.qr(Tensor self)
static TensorTensorTuple	torch.qr(Tensor self, boolean some)
static Tensor	torch.quantile_out(Tensor out, Tensor self, double q)
static Tensor	torch.quantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile_out(Tensor out, Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantile_out(Tensor out, Tensor self, Tensor q)
static Tensor	torch.quantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile_out(Tensor out, Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.quantile_outf(Tensor self, double q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.quantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation, Tensor out)
static Tensor	torch.quantile_outf(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Tensor out)
static Tensor	torch.quantile(Tensor self, double q)
static Tensor	torch.quantile(Tensor self, double q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile(Tensor self, double q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantile(Tensor self, Tensor q)
static Tensor	torch.quantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim)
static Tensor	torch.quantile(Tensor self, Tensor q, LongOptional dim, boolean keepdim, Pointer interpolation)
static Tensor	torch.quantize_per_channel(Tensor self, Tensor scales, Tensor zero_points, long axis, torch.ScalarType dtype)
static TensorVector	torch.quantize_per_tensor(TensorArrayRef tensors, Tensor scales, Tensor zero_points, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor(Tensor self, double scale, long zero_point, torch.ScalarType dtype)
static Tensor	torch.quantize_per_tensor(Tensor self, Tensor scale, Tensor zero_point, torch.ScalarType dtype)
static Tensor	torch.quantized_batch_norm(Tensor input, TensorOptional weight, TensorOptional bias, Tensor mean, Tensor var, double eps, double output_scale, long output_zero_point)
static Tensor	torch.quantized_gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static TensorTensorTuple	torch.quantized_lstm_cell(Tensor input, TensorArrayRef hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static Tensor	torch.quantized_max_pool1d(Tensor self, long... kernel_size)
static Tensor	torch.quantized_max_pool1d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.quantized_max_pool1d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.quantized_max_pool1d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.quantized_max_pool2d(Tensor self, long... kernel_size)
static Tensor	torch.quantized_max_pool2d(Tensor self, long[] kernel_size, long[] stride, long[] padding, long[] dilation, boolean ceil_mode)
static Tensor	torch.quantized_max_pool2d(Tensor self, LongArrayRef kernel_size)
static Tensor	torch.quantized_max_pool2d(Tensor self, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, boolean ceil_mode)
static Tensor	torch.quantized_rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static Tensor	torch.quantized_rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh)
static Tensor	torch.rad2deg_(Tensor self)
static Tensor	torch.rad2deg_out(Tensor out, Tensor self)
static Tensor	torch.rad2deg_outf(Tensor self, Tensor out)
static Tensor	torch.rad2deg(Tensor self)
static Tensor	torch.rand_like(Tensor self)
static Tensor	torch.rand_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.rand_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.rand_out(Tensor out, long... size)
static Tensor	torch.rand_out(Tensor out, long[] size, GeneratorOptional generator)
static Tensor	torch.rand_out(Tensor out, LongArrayRef size)
static Tensor	torch.rand_out(Tensor out, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.rand_outf(long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.rand_outf(long[] size, Tensor out)
static Tensor	torch.rand_outf(LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.rand_outf(LongArrayRef size, Tensor out)
static Tensor	torch.randint_like(Tensor self, long high)
static Tensor	torch.randint_like(Tensor self, long low, long high)
static Tensor	torch.randint_like(Tensor self, long low, long high, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.randint_like(Tensor self, long low, long high, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.randint_like(Tensor self, long high, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.randint_like(Tensor self, long high, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.randint_out(Tensor out, long high, long... size)
static Tensor	torch.randint_out(Tensor out, long high, long[] size, GeneratorOptional generator)
static Tensor	torch.randint_out(Tensor out, long high, LongArrayRef size)
static Tensor	torch.randint_out(Tensor out, long high, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randint_out(Tensor out, long low, long high, long... size)
static Tensor	torch.randint_out(Tensor out, long low, long high, long[] size, GeneratorOptional generator)
static Tensor	torch.randint_out(Tensor out, long low, long high, LongArrayRef size)
static Tensor	torch.randint_out(Tensor out, long low, long high, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randint_outf(long high, long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long high, long[] size, Tensor out)
static Tensor	torch.randint_outf(long high, LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long high, LongArrayRef size, Tensor out)
static Tensor	torch.randint_outf(long low, long high, long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long low, long high, long[] size, Tensor out)
static Tensor	torch.randint_outf(long low, long high, LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randint_outf(long low, long high, LongArrayRef size, Tensor out)
static Tensor	torch.randn_like(Tensor self)
static Tensor	torch.randn_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.randn_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.randn_out(Tensor out, long... size)
static Tensor	torch.randn_out(Tensor out, long[] size, GeneratorOptional generator)
static Tensor	torch.randn_out(Tensor out, LongArrayRef size)
static Tensor	torch.randn_out(Tensor out, LongArrayRef size, GeneratorOptional generator)
static Tensor	torch.randn_outf(long[] size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randn_outf(long[] size, Tensor out)
static Tensor	torch.randn_outf(LongArrayRef size, GeneratorOptional generator, Tensor out)
static Tensor	torch.randn_outf(LongArrayRef size, Tensor out)
static Tensor	torch.randperm_out(Tensor out, long n)
static Tensor	torch.randperm_out(Tensor out, long n, GeneratorOptional generator)
static Tensor	torch.randperm_outf(long n, GeneratorOptional generator, Tensor out)
static Tensor	torch.randperm_outf(long n, Tensor out)
static Tensor	torch.range_out(Tensor out, Scalar start, Scalar end)
static Tensor	torch.range_out(Tensor out, Scalar start, Scalar end, Scalar step)
static Tensor	torch.range_outf(Scalar start, Scalar end, Scalar step, Tensor out)
static Tensor	torch.ravel(Tensor self)
static Tensor	torch.real(Tensor self)
static void	torch.rebase_history(Tensor arg0, Edge gradient_edge) Update the grad_fn of an existing Variable.
static Tensor	torch.reciprocal_(Tensor self)
static Tensor	torch.reciprocal_out(Tensor out, Tensor self)
static Tensor	torch.reciprocal_outf(Tensor self, Tensor out)
static Tensor	torch.reciprocal(Tensor self)
static void	torch.recordTensorIndex(Tensor tensor, TensorVector outIndices, long[] dim_ptr)
static void	torch.recordTensorIndex(Tensor tensor, TensorVector outIndices, LongBuffer dim_ptr)
static void	torch.recordTensorIndex(Tensor tensor, TensorVector outIndices, LongPointer dim_ptr)
static Tensor	torch.reflection_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad1d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.reflection_pad1d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.reflection_pad1d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad1d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad1d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.reflection_pad1d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad1d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.reflection_pad1d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.reflection_pad1d(Tensor self, long... padding)
static Tensor	torch.reflection_pad1d(Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.reflection_pad2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.reflection_pad2d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad2d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.reflection_pad2d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad2d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.reflection_pad2d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.reflection_pad2d(Tensor self, long... padding)
static Tensor	torch.reflection_pad2d(Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.reflection_pad3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.reflection_pad3d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.reflection_pad3d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.reflection_pad3d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.reflection_pad3d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.reflection_pad3d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.reflection_pad3d(Tensor self, long... padding)
static Tensor	torch.reflection_pad3d(Tensor self, LongArrayRef padding)
static Tensor	torch.relu_(Tensor self)
static Tensor	torch.relu(Tensor self)
static Tensor	torch.relu(Tensor input, boolean inplace)
static Tensor	torch.relu(Tensor input, ReLUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.relu /** about the exact behavior of this functional.
static Tensor	torch.relu6_(Tensor self)
static Tensor	torch.relu6(Tensor self)
static Tensor	torch.relu6(Tensor input, boolean inplace)
static Tensor	torch.relu6(Tensor input, ReLU6Options options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.relu6 /** about the exact behavior of this functional.
static Tensor	torch.remainder_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.remainder_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.remainder_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.remainder_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.remainder(Scalar self, Tensor other)
static Tensor	torch.remainder(Tensor self, Scalar other)
static Tensor	torch.remainder(Tensor self, Tensor other)
static Tensor	torch.renorm_out(Tensor out, Tensor self, Scalar p, long dim, Scalar maxnorm)
static Tensor	torch.renorm_outf(Tensor self, Scalar p, long dim, Scalar maxnorm, Tensor out)
static Tensor	torch.renorm(Tensor self, Scalar p, long dim, Scalar maxnorm)
static Tensor	torch.repeat_interleave(Tensor repeats)
static Tensor	torch.repeat_interleave(Tensor self, long repeats)
static Tensor	torch.repeat_interleave(Tensor self, long repeats, LongOptional dim, LongOptional output_size)
static Tensor	torch.repeat_interleave(Tensor repeats, LongOptional output_size)
static Tensor	torch.repeat_interleave(Tensor self, Tensor repeats)
static Tensor	torch.repeat_interleave(Tensor self, Tensor repeats, LongOptional dim, LongOptional output_size)
static Tensor	torch.replication_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad1d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad1d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.replication_pad1d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.replication_pad1d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad1d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad1d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.replication_pad1d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad1d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.replication_pad1d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.replication_pad1d(Tensor self, long... padding)
static Tensor	torch.replication_pad1d(Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad2d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.replication_pad2d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.replication_pad2d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad2d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.replication_pad2d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad2d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.replication_pad2d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.replication_pad2d(Tensor self, long... padding)
static Tensor	torch.replication_pad2d(Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad3d_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_backward_outf(Tensor grad_output, Tensor self, long[] padding, Tensor grad_input)
static Tensor	torch.replication_pad3d_backward_outf(Tensor grad_output, Tensor self, LongArrayRef padding, Tensor grad_input)
static Tensor	torch.replication_pad3d_backward(Tensor grad_output, Tensor self, long... padding)
static Tensor	torch.replication_pad3d_backward(Tensor grad_output, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_out(Tensor out, Tensor self, long... padding)
static Tensor	torch.replication_pad3d_out(Tensor out, Tensor self, LongArrayRef padding)
static Tensor	torch.replication_pad3d_outf(Tensor self, long[] padding, Tensor out)
static Tensor	torch.replication_pad3d_outf(Tensor self, LongArrayRef padding, Tensor out)
static Tensor	torch.replication_pad3d(Tensor self, long... padding)
static Tensor	torch.replication_pad3d(Tensor self, LongArrayRef padding)
static Tensor	torch.reshape(Tensor self, long... shape)
static Tensor	torch.reshape(Tensor self, LongArrayRef shape)
static Tensor	torch.resize_as_(Tensor self, Tensor the_template)
static Tensor	torch.resize_as_(Tensor self, Tensor the_template, MemoryFormatOptional memory_format)
static Tensor	torch.resize_as_sparse_(Tensor self, Tensor the_template)
static Tensor	torch.resolve_conj(Tensor self)
static Tensor	torch.resolve_neg(Tensor self)
static torch.ScalarType	torch.result_type(Scalar scalar, Tensor tensor)
static torch.ScalarType	torch.result_type(Tensor tensor, Scalar other)
static torch.ScalarType	torch.result_type(Tensor tensor, Tensor other)
static Tensor	torch.rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh)
static Tensor	torch.rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static TensorTensorTuple	torch.rnn_relu(Tensor input, Tensor hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static TensorTensorTuple	torch.rnn_relu(Tensor data, Tensor batch_sizes, Tensor hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static Tensor	torch.rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh)
static Tensor	torch.rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, TensorOptional b_ih, TensorOptional b_hh)
static TensorTensorTuple	torch.rnn_tanh(Tensor input, Tensor hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional, boolean batch_first)
static TensorTensorTuple	torch.rnn_tanh(Tensor data, Tensor batch_sizes, Tensor hx, TensorArrayRef params, boolean has_biases, long num_layers, double dropout, boolean train, boolean bidirectional)
static Tensor	torch.roll(Tensor self, long... shifts)
static Tensor	torch.roll(Tensor self, long[] shifts, long... dims)
static Tensor	torch.roll(Tensor self, LongArrayRef shifts)
static Tensor	torch.roll(Tensor self, LongArrayRef shifts, LongArrayRef dims)
static Tensor	torch.rot90(Tensor self)
static Tensor	torch.rot90(Tensor self, long k, long... dims)
static Tensor	torch.rot90(Tensor self, long k, LongArrayRef dims)
static Tensor	torch.round_(Tensor self)
static Tensor	torch.round_out(Tensor out, Tensor self)
static Tensor	torch.round_outf(Tensor self, Tensor out)
static Tensor	torch.round(Tensor self)
static Tensor	torch.row_stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.row_stack_outf(TensorArrayRef tensors, Tensor out)
static Tensor	torch.rrelu_(Tensor self)
static Tensor	torch.rrelu_(Tensor self, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu_with_noise_(Tensor self, Tensor noise)
static Tensor	torch.rrelu_with_noise_(Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu_with_noise_backward(Tensor grad_output, Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, boolean self_is_result)
static Tensor	torch.rrelu_with_noise_out(Tensor out, Tensor self, Tensor noise)
static Tensor	torch.rrelu_with_noise_out(Tensor out, Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu_with_noise_outf(Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator, Tensor out)
static Tensor	torch.rrelu_with_noise(Tensor self, Tensor noise)
static Tensor	torch.rrelu_with_noise(Tensor self, Tensor noise, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rrelu(Tensor self)
static Tensor	torch.rrelu(Tensor input, double lower, double upper, boolean training, boolean inplace)
static Tensor	torch.rrelu(Tensor input, RReLUFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.rrelu /** about the exact behavior of this functional.
static Tensor	torch.rrelu(Tensor self, Scalar lower, Scalar upper, boolean training, GeneratorOptional generator)
static Tensor	torch.rsqrt_(Tensor self)
static Tensor	torch.rsqrt_out(Tensor out, Tensor self)
static Tensor	torch.rsqrt_outf(Tensor self, Tensor out)
static Tensor	torch.rsqrt(Tensor self)
static Tensor	torch.rsub(Tensor self, Scalar other)
static Tensor	torch.rsub(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.rsub(Tensor self, Tensor other)
static Tensor	torch.rsub(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.scatter_add_out(Tensor out, Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter_add_outf(Tensor self, long dim, Tensor index, Tensor src, Tensor out)
static Tensor	torch.scatter_add(Tensor self, Dimname dim, Tensor index, Tensor src)
static Tensor	torch.scatter_add(Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Scalar value)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Scalar value, Pointer reduce)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter_out(Tensor out, Tensor self, long dim, Tensor index, Tensor src, Pointer reduce)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Scalar value, Pointer reduce, Tensor out)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Scalar value, Tensor out)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Tensor src, Pointer reduce, Tensor out)
static Tensor	torch.scatter_outf(Tensor self, long dim, Tensor index, Tensor src, Tensor out)
static Tensor	torch.scatter(Tensor self, Dimname dim, Tensor index, Scalar value)
static Tensor	torch.scatter(Tensor self, Dimname dim, Tensor index, Tensor src)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Scalar value)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Scalar value, Pointer reduce)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Tensor src)
static Tensor	torch.scatter(Tensor self, long dim, Tensor index, Tensor src, Pointer reduce)
static Tensor	torch.searchsorted_out(Tensor out, Tensor sorted_sequence, Tensor self)
static Tensor	torch.searchsorted_out(Tensor out, Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right)
static Tensor	torch.searchsorted_outf(Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right, Tensor out)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Scalar self)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Scalar self, boolean out_int32, boolean right)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Tensor self)
static Tensor	torch.searchsorted(Tensor sorted_sequence, Tensor self, boolean out_int32, boolean right)
static Tensor	torch.segment_reduce(Tensor data, Pointer reduce)
static Tensor	torch.segment_reduce(Tensor data, Pointer reduce, TensorOptional lengths, TensorOptional indices, long axis, boolean unsafe, ScalarOptional initial)
static Tensor	torch.select_backward(Tensor grad_output, long[] input_sizes, long dim, long index)
static Tensor	torch.select_backward(Tensor grad_output, LongArrayRef input_sizes, long dim, long index)
static Tensor	torch.select(Tensor self, Dimname dim, long index)
static Tensor	torch.select(Tensor self, long dim, long index)
static Tensor	torch.selu_(Tensor self)
static Tensor	torch.selu(Tensor self)
static Tensor	torch.selu(Tensor input, boolean inplace)
static Tensor	torch.selu(Tensor input, SELUOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.selu /** about the exact behavior of this functional.
static void	torch.set_gradient_edge(Tensor arg0, Edge edge) Set the gradient edge -- i.e.
static void	torch.set_item(Tensor self, TensorIndexArrayRef indices, Tensor value)
static void	torch.set_item(Tensor self, TensorIndexArrayRef indices, Tensor value, boolean disable_slice_optimization)
static void	torch.set_name(Tensor arg0, BytePointer name)
static void	torch.set_name(Tensor arg0, String name)
static void	torch.set_version_counter(Tensor arg0, VariableVersion version_counter)
static void	torch.setOutput(Value value, Tensor output)
static Tensor	torch.sgn_out(Tensor out, Tensor self)
static Tensor	torch.sgn_outf(Tensor self, Tensor out)
static Tensor	torch.sgn(Tensor self)
static OutputArchive	torch.shiftLeft(OutputArchive archive, Tensor tensor) Deserializes the given tensor_vec of type std::vector<torch::Tensor>.
static Pointer	torch.shiftLeft(Pointer out, Tensor t)
static InputArchive	torch.shiftRight(InputArchive archive, Tensor tensor)
static Tensor	torch.sigmoid_(Tensor self)
static Tensor	torch.sigmoid_backward_out(Tensor grad_input, Tensor grad_output, Tensor output)
static Tensor	torch.sigmoid_backward_outf(Tensor grad_output, Tensor output, Tensor grad_input)
static Tensor	torch.sigmoid_backward(Tensor grad_output, Tensor output)
static Tensor	torch.sigmoid_out(Tensor out, Tensor self)
static Tensor	torch.sigmoid_outf(Tensor self, Tensor out)
static Tensor	torch.sigmoid(Tensor self)
static Tensor	torch.sign_out(Tensor out, Tensor self)
static Tensor	torch.sign_outf(Tensor self, Tensor out)
static Tensor	torch.sign(Tensor self)
static Tensor	torch.signbit_out(Tensor out, Tensor self)
static Tensor	torch.signbit_outf(Tensor self, Tensor out)
static Tensor	torch.signbit(Tensor self)
static Tensor	torch.silu_(Tensor self)
static Tensor	torch.silu_backward_out(Tensor grad_input, Tensor grad_output, Tensor self)
static Tensor	torch.silu_backward_outf(Tensor grad_output, Tensor self, Tensor grad_input)
static Tensor	torch.silu_backward(Tensor grad_output, Tensor self)
static Tensor	torch.silu_out(Tensor out, Tensor self)
static Tensor	torch.silu_outf(Tensor self, Tensor out)
static Tensor	torch.silu(Tensor self)
static Tensor	torch.sin_(Tensor self)
static Tensor	torch.sin_out(Tensor out, Tensor self)
static Tensor	torch.sin_outf(Tensor self, Tensor out)
static Tensor	torch.sin(Tensor self)
static Tensor	torch.sinc_(Tensor self)
static Tensor	torch.sinc_out(Tensor out, Tensor self)
static Tensor	torch.sinc_outf(Tensor self, Tensor out)
static Tensor	torch.sinc(Tensor self)
static Tensor	torch.sinh_(Tensor self)
static Tensor	torch.sinh_out(Tensor out, Tensor self)
static Tensor	torch.sinh_outf(Tensor self, Tensor out)
static Tensor	torch.sinh(Tensor self)
static long	torch.size(Tensor self, Dimname dim)
static long	torch.size(Tensor tensor, long dim)
static Tensor	torch.slice_backward(Tensor grad_output, long[] input_sizes, long dim, long start, long end, long step)
static Tensor	torch.slice_backward(Tensor grad_output, LongArrayRef input_sizes, long dim, long start, long end, long step)
static Tensor	torch.slice(Tensor self)
static Tensor	torch.slice(Tensor self, long dim, LongOptional start, LongOptional end, long step)
static TensorTensorTuple	torch.slogdet(Tensor self)
static TensorTensorTensorTuple	torch.slow_conv_dilated2d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.slow_conv_dilated2d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, BoolPointer output_mask)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_dilated2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static TensorTensorTensorTuple	torch.slow_conv_dilated3d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] dilation, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.slow_conv_dilated3d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation, BoolPointer output_mask)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long... dilation)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_dilated3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef dilation)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor columns, Tensor ones)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor columns, Tensor ones)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor columns, Tensor ones, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv_transpose2d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor columns, Tensor ones, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static TensorTensorTensorTuple	torch.slow_conv_transpose2d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor columns, Tensor ones, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.slow_conv_transpose2d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor columns, Tensor ones, BoolPointer output_mask)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv_transpose3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static TensorTensorTensorTuple	torch.slow_conv_transpose3d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor finput, Tensor fgrad_input, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.slow_conv_transpose3d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor finput, Tensor fgrad_input, BoolPointer output_mask)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static Tensor	torch.slow_conv_transpose3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long[] dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation, Tensor out)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, long[] output_padding, long... dilation)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv_transpose3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, LongArrayRef output_padding, LongArrayRef dilation)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_out(Tensor grad_input, Tensor grad_weight, Tensor grad_bias, Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static PointerPointer<Tensor>	torch.slow_conv3d_backward_outf(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, Tensor fgrad_input, Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
static TensorTensorTensorTuple	torch.slow_conv3d_backward(Tensor grad_output, Tensor self, Tensor weight, long[] kernel_size, long[] stride, long[] padding, Tensor finput, Tensor fgrad_input, BoolPointer output_mask)
static TensorTensorTensorTuple	torch.slow_conv3d_backward(Tensor grad_output, Tensor self, Tensor weight, LongArrayRef kernel_size, LongArrayRef stride, LongArrayRef padding, Tensor finput, Tensor fgrad_input, BoolPointer output_mask)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_out(Tensor output, Tensor finput, Tensor fgrad_input, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_out(Tensor output, Tensor finput, Tensor fgrad_input, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor output, Tensor finput, Tensor fgrad_input)
static PointerPointer<Tensor>	torch.slow_conv3d_forward_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor output, Tensor finput, Tensor fgrad_input)
static TensorTensorTensorTuple	torch.slow_conv3d_forward(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static TensorTensorTensorTuple	torch.slow_conv3d_forward(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv3d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.slow_conv3d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor out)
static Tensor	torch.slow_conv3d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.slow_conv3d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.smm(Tensor self, Tensor mat2)
static Tensor	torch.smooth_l1_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, double beta, Tensor grad_input)
static Tensor	torch.smooth_l1_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.smooth_l1_loss_out(Tensor out, Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss_outf(Tensor self, Tensor target, long reduction, double beta, Tensor out)
static Tensor	torch.smooth_l1_loss(Tensor self, Tensor target)
static Tensor	torch.smooth_l1_loss(Tensor self, Tensor target, long reduction, double beta)
static Tensor	torch.smooth_l1_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.smooth_l1_loss(Tensor input, Tensor target, loss_reduction_t reduction, double beta)
static Tensor	torch.smooth_l1_loss(Tensor input, Tensor target, SmoothL1LossOptions options, double beta) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.smooth_l1_loss /** about the exact behavior of this functional.
static Tensor	torch.soft_margin_loss_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss_backward_outf(Tensor grad_output, Tensor self, Tensor target, long reduction, Tensor grad_input)
static Tensor	torch.soft_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss_out(Tensor out, Tensor self, Tensor target)
static Tensor	torch.soft_margin_loss_out(Tensor out, Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss_outf(Tensor self, Tensor target, long reduction, Tensor out)
static Tensor	torch.soft_margin_loss(Tensor self, Tensor target)
static Tensor	torch.soft_margin_loss(Tensor self, Tensor target, long reduction)
static Tensor	torch.soft_margin_loss(Tensor input, Tensor target, loss_reduction_t reduction)
static Tensor	torch.soft_margin_loss(Tensor input, Tensor target, SoftMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.soft_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.softmax(Tensor self, Dimname dim)
static Tensor	torch.softmax(Tensor self, Dimname dim, ScalarTypeOptional dtype)
static Tensor	torch.softmax(Tensor self, long dim)
static Tensor	torch.softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.softmax(Tensor input, SoftmaxFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softmax /** about the exact behavior of this functional.
static Tensor	torch.softmin(Tensor input, long dim, ScalarTypeOptional dtype)
static Tensor	torch.softmin(Tensor input, SoftminFuncOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softmin /** about the exact behavior of this functional.
static Tensor	torch.softplus_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output)
static Tensor	torch.softplus_backward_outf(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output, Tensor grad_input)
static Tensor	torch.softplus_backward(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, Tensor output)
static Tensor	torch.softplus_out(Tensor out, Tensor self)
static Tensor	torch.softplus_out(Tensor out, Tensor self, Scalar beta, Scalar threshold)
static Tensor	torch.softplus_outf(Tensor self, Scalar beta, Scalar threshold, Tensor out)
static Tensor	torch.softplus(Tensor self)
static Tensor	torch.softplus(Tensor input, double beta, double threshold)
static Tensor	torch.softplus(Tensor self, Scalar beta, Scalar threshold)
static Tensor	torch.softplus(Tensor input, SoftplusOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softplus /** about the exact behavior of this functional.
static Tensor	torch.softshrink_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar lambd)
static Tensor	torch.softshrink_backward_outf(Tensor grad_output, Tensor self, Scalar lambd, Tensor grad_input)
static Tensor	torch.softshrink_backward(Tensor grad_output, Tensor self, Scalar lambd)
static Tensor	torch.softshrink_out(Tensor out, Tensor self)
static Tensor	torch.softshrink_out(Tensor out, Tensor self, Scalar lambd)
static Tensor	torch.softshrink_outf(Tensor self, Scalar lambd, Tensor out)
static Tensor	torch.softshrink(Tensor self)
static Tensor	torch.softshrink(Tensor input, double lambda)
static Tensor	torch.softshrink(Tensor self, Scalar lambd)
static Tensor	torch.softshrink(Tensor input, SoftshrinkOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.softshrink /** about the exact behavior of this functional.
static Tensor	torch.softsign(Tensor input)
static PointerPointer<Tensor>	torch.solve_out(Tensor solution, Tensor lu, Tensor self, Tensor A)
static PointerPointer<Tensor>	torch.solve_outf(Tensor self, Tensor A, Tensor solution, Tensor lu)
static TensorTensorTuple	torch.solve(Tensor self, Tensor A)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable, Dimname dim)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable, Dimname dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, BoolOptional stable, long dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, Dimname dim)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, Dimname dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_out(Tensor values, Tensor indices, Tensor self, long dim, boolean descending)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, BoolOptional stable, Dimname dim, boolean descending, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, BoolOptional stable, long dim, boolean descending, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, Dimname dim, boolean descending, Tensor values, Tensor indices)
static PointerPointer<Tensor>	torch.sort_outf(Tensor self, long dim, boolean descending, Tensor values, Tensor indices)
static TensorTensorTuple	torch.sort(Tensor self)
static TensorTensorTuple	torch.sort(Tensor self, BoolOptional stable)
static TensorTensorTuple	torch.sort(Tensor self, BoolOptional stable, Dimname dim)
static TensorTensorTuple	torch.sort(Tensor self, BoolOptional stable, Dimname dim, boolean descending)
static TensorTensorTuple	torch.sort(Tensor self, BoolOptional stable, long dim, boolean descending)
static TensorTensorTuple	torch.sort(Tensor self, Dimname dim)
static TensorTensorTuple	torch.sort(Tensor self, Dimname dim, boolean descending)
static TensorTensorTuple	torch.sort(Tensor self, long dim, boolean descending)
static Tensor	torch.sparse_(Tensor tensor, double sparsity)
static Tensor	torch.sparse_(Tensor tensor, double sparsity, double std) Fills the 2D input Tensor as a sparse matrix, where the non-zero elements will be drawn from a centered normal distribution with the given standard deviation std, as described in "Deep learning via Hessian-free optimization" - Martens, J.
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, long... size)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, LongArrayRef size)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_coo_tensor(Tensor indices, Tensor values, TensorOptions options)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, long[] size, TensorOptions options)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, LongArrayRef size, TensorOptions options)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory)
static Tensor	torch.sparse_csr_tensor(Tensor crow_indices, Tensor col_indices, Tensor values, TensorOptions options)
static Tensor	torch.special_digamma_out(Tensor out, Tensor self)
static Tensor	torch.special_digamma_outf(Tensor self, Tensor out)
static Tensor	torch.special_digamma(Tensor self)
static Tensor	torch.special_entr_out(Tensor out, Tensor self)
static Tensor	torch.special_entr_outf(Tensor self, Tensor out)
static Tensor	torch.special_entr(Tensor self)
static Tensor	torch.special_erf_out(Tensor out, Tensor self)
static Tensor	torch.special_erf_outf(Tensor self, Tensor out)
static Tensor	torch.special_erf(Tensor self)
static Tensor	torch.special_erfc_out(Tensor out, Tensor self)
static Tensor	torch.special_erfc_outf(Tensor self, Tensor out)
static Tensor	torch.special_erfc(Tensor self)
static Tensor	torch.special_erfcx_out(Tensor out, Tensor self)
static Tensor	torch.special_erfcx_outf(Tensor self, Tensor out)
static Tensor	torch.special_erfcx(Tensor self)
static Tensor	torch.special_erfinv_out(Tensor out, Tensor self)
static Tensor	torch.special_erfinv_outf(Tensor self, Tensor out)
static Tensor	torch.special_erfinv(Tensor self)
static Tensor	torch.special_exp2_out(Tensor out, Tensor self)
static Tensor	torch.special_exp2_outf(Tensor self, Tensor out)
static Tensor	torch.special_exp2(Tensor self)
static Tensor	torch.special_expit_out(Tensor out, Tensor self)
static Tensor	torch.special_expit_outf(Tensor self, Tensor out)
static Tensor	torch.special_expit(Tensor self)
static Tensor	torch.special_expm1_out(Tensor out, Tensor self)
static Tensor	torch.special_expm1_outf(Tensor self, Tensor out)
static Tensor	torch.special_expm1(Tensor self)
static Tensor	torch.special_gammainc_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_gammainc_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_gammainc(Tensor self, Tensor other)
static Tensor	torch.special_gammaincc_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_gammaincc_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_gammaincc(Tensor self, Tensor other)
static Tensor	torch.special_gammaln_out(Tensor out, Tensor self)
static Tensor	torch.special_gammaln_outf(Tensor self, Tensor out)
static Tensor	torch.special_gammaln(Tensor self)
static Tensor	torch.special_i0_out(Tensor out, Tensor self)
static Tensor	torch.special_i0_outf(Tensor self, Tensor out)
static Tensor	torch.special_i0(Tensor self)
static Tensor	torch.special_i0e_out(Tensor out, Tensor self)
static Tensor	torch.special_i0e_outf(Tensor self, Tensor out)
static Tensor	torch.special_i0e(Tensor self)
static Tensor	torch.special_i1_out(Tensor out, Tensor self)
static Tensor	torch.special_i1_outf(Tensor self, Tensor out)
static Tensor	torch.special_i1(Tensor self)
static Tensor	torch.special_i1e_out(Tensor out, Tensor self)
static Tensor	torch.special_i1e_outf(Tensor self, Tensor out)
static Tensor	torch.special_i1e(Tensor self)
static Tensor	torch.special_log_softmax(Tensor self, long dim)
static Tensor	torch.special_log_softmax(Tensor self, long dim, ScalarTypeOptional dtype)
static Tensor	torch.special_log1p_out(Tensor out, Tensor self)
static Tensor	torch.special_log1p_outf(Tensor self, Tensor out)
static Tensor	torch.special_log1p(Tensor self)
static Tensor	torch.special_logit_out(Tensor out, Tensor self)
static Tensor	torch.special_logit_out(Tensor out, Tensor self, DoubleOptional eps)
static Tensor	torch.special_logit_outf(Tensor self, DoubleOptional eps, Tensor out)
static Tensor	torch.special_logit(Tensor self)
static Tensor	torch.special_logit(Tensor self, DoubleOptional eps)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.special_logsumexp_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.special_logsumexp_outf(Tensor self, long[] dim, boolean keepdim, Tensor out)
static Tensor	torch.special_logsumexp_outf(Tensor self, LongArrayRef dim, boolean keepdim, Tensor out)
static Tensor	torch.special_logsumexp(Tensor self, long... dim)
static Tensor	torch.special_logsumexp(Tensor self, long[] dim, boolean keepdim)
static Tensor	torch.special_logsumexp(Tensor self, LongArrayRef dim)
static Tensor	torch.special_logsumexp(Tensor self, LongArrayRef dim, boolean keepdim)
static Tensor	torch.special_multigammaln_out(Tensor out, Tensor self, long p)
static Tensor	torch.special_multigammaln_outf(Tensor self, long p, Tensor out)
static Tensor	torch.special_multigammaln(Tensor self, long p)
static Tensor	torch.special_ndtr_out(Tensor out, Tensor self)
static Tensor	torch.special_ndtr_outf(Tensor self, Tensor out)
static Tensor	torch.special_ndtr(Tensor self)
static Tensor	torch.special_ndtri_out(Tensor out, Tensor self)
static Tensor	torch.special_ndtri_outf(Tensor self, Tensor out)
static Tensor	torch.special_ndtri(Tensor self)
static Tensor	torch.special_polygamma_out(Tensor out, long n, Tensor self)
static Tensor	torch.special_polygamma_outf(long n, Tensor self, Tensor out)
static Tensor	torch.special_polygamma(long n, Tensor self)
static Tensor	torch.special_psi_out(Tensor out, Tensor self)
static Tensor	torch.special_psi_outf(Tensor self, Tensor out)
static Tensor	torch.special_psi(Tensor self)
static Tensor	torch.special_round_out(Tensor out, Tensor self)
static Tensor	torch.special_round_outf(Tensor self, Tensor out)
static Tensor	torch.special_round(Tensor self)
static Tensor	torch.special_sinc_out(Tensor out, Tensor self)
static Tensor	torch.special_sinc_outf(Tensor self, Tensor out)
static Tensor	torch.special_sinc(Tensor self)
static Tensor	torch.special_xlog1py_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.special_xlog1py_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.special_xlog1py_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_xlog1py_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.special_xlog1py_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.special_xlog1py_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_xlog1py(Scalar self, Tensor other)
static Tensor	torch.special_xlog1py(Tensor self, Scalar other)
static Tensor	torch.special_xlog1py(Tensor self, Tensor other)
static Tensor	torch.special_xlogy_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.special_xlogy_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.special_xlogy_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_xlogy_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.special_xlogy_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.special_xlogy_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_xlogy(Scalar self, Tensor other)
static Tensor	torch.special_xlogy(Tensor self, Scalar other)
static Tensor	torch.special_xlogy(Tensor self, Tensor other)
static Tensor	torch.special_zeta_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.special_zeta_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.special_zeta_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.special_zeta_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.special_zeta_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.special_zeta_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.special_zeta(Scalar self, Tensor other)
static Tensor	torch.special_zeta(Tensor self, Scalar other)
static Tensor	torch.special_zeta(Tensor self, Tensor other)
static TensorVector	torch.split_with_sizes(Tensor self, long... split_sizes)
static TensorVector	torch.split_with_sizes(Tensor self, long[] split_sizes, long dim)
static TensorVector	torch.split_with_sizes(Tensor self, LongArrayRef split_sizes)
static TensorVector	torch.split_with_sizes(Tensor self, LongArrayRef split_sizes, long dim)
static TensorVector	torch.split(Tensor self, long split_size)
static TensorVector	torch.split(Tensor self, long split_size, long dim)
static Tensor	torch.sqrt_(Tensor self)
static Tensor	torch.sqrt_out(Tensor out, Tensor self)
static Tensor	torch.sqrt_outf(Tensor self, Tensor out)
static Tensor	torch.sqrt(Tensor self)
static Tensor	torch.square_(Tensor self)
static Tensor	torch.square_out(Tensor out, Tensor self)
static Tensor	torch.square_outf(Tensor self, Tensor out)
static Tensor	torch.square(Tensor self)
static Tensor	torch.squeeze(Tensor self)
static Tensor	torch.squeeze(Tensor self, Dimname dim)
static Tensor	torch.squeeze(Tensor self, long dim)
static Tensor	torch.sspaddmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.sspaddmm_out(Tensor out, Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.sspaddmm_outf(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha, Tensor out)
static Tensor	torch.sspaddmm(Tensor self, Tensor mat1, Tensor mat2)
static Tensor	torch.sspaddmm(Tensor self, Tensor mat1, Tensor mat2, Scalar beta, Scalar alpha)
static Tensor	torch.stack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.stack_out(Tensor out, TensorArrayRef tensors, long dim)
static Tensor	torch.stack_outf(TensorArrayRef tensors, long dim, Tensor out)
static TensorTensorTuple	torch.std_mean(Tensor self)
static TensorTensorTuple	torch.std_mean(Tensor self, boolean unbiased)
static TensorTensorTuple	torch.std_mean(Tensor self, DimnameArrayRef dim)
static TensorTensorTuple	torch.std_mean(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static TensorTensorTuple	torch.std_mean(Tensor self, DimnameArrayRef dim, LongOptional correction)
static TensorTensorTuple	torch.std_mean(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static TensorTensorTuple	torch.std_mean(Tensor self, int dim)
static TensorTensorTuple	torch.std_mean(Tensor self, long... dim)
static TensorTensorTuple	torch.std_mean(Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static TensorTensorTuple	torch.std_mean(Tensor self, LongArrayRef dim)
static TensorTensorTuple	torch.std_mean(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static TensorTensorTuple	torch.std_mean(Tensor self, LongArrayRefOptional dim, LongOptional correction)
static TensorTensorTuple	torch.std_mean(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.std_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.std_out(Tensor out, Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.std_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.std_outf(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, long[] dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.std_outf(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.std(Tensor self)
static Tensor	torch.std(Tensor self, boolean unbiased)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.std(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.std(Tensor self, int dim)
static Tensor	torch.std(Tensor self, long... dim)
static Tensor	torch.std(Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std(Tensor self, LongArrayRef dim)
static Tensor	torch.std(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.std(Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.std(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.stft(Tensor self, long n_fft)
static Tensor	torch.stft(Tensor self, long n_fft, LongOptional hop_length, LongOptional win_length, TensorOptional window, boolean normalized, BoolOptional onesided, BoolOptional return_complex)
static long	torch.stride(Tensor self, Dimname dim)
static long	torch.stride(Tensor tensor, long dim)
static Tensor	torch.sub_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.sub_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.sub_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch.sub(Tensor self, Scalar other)
static Tensor	torch.sub(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.sub(Tensor self, Tensor other)
static Tensor	torch.sub(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.subtract_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.subtract_out(Tensor out, Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.subtract_outf(Tensor self, Tensor other, Scalar alpha, Tensor out)
static Tensor	torch.subtract(Scalar x, Tensor y)
static Tensor	torch.subtract(Tensor self, Scalar other)
static Tensor	torch.subtract(Tensor self, Scalar other, Scalar alpha)
static Tensor	torch.subtract(Tensor self, Tensor other)
static Tensor	torch.subtract(Tensor self, Tensor other, Scalar alpha)
static Tensor	torch.sum_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.sum_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.sum_out(Tensor out, Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.sum_out(Tensor out, Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum_outf(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.sum_outf(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.sum_outf(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype, Tensor out)
static Tensor	torch.sum_to(Tensor tensor, long... shape)
static Tensor	torch.sum_to(Tensor tensor, LongArrayRef shape)
static Tensor	torch.sum(Tensor self)
static Tensor	torch.sum(Tensor self, DimnameArrayRef dim)
static Tensor	torch.sum(Tensor self, DimnameArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum(Tensor self, long... dim)
static Tensor	torch.sum(Tensor self, long[] dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum(Tensor self, LongArrayRef dim)
static Tensor	torch.sum(Tensor self, LongArrayRef dim, boolean keepdim, ScalarTypeOptional dtype)
static Tensor	torch.sum(Tensor self, ScalarTypeOptional dtype)
static PointerPointer<Tensor>	torch.svd_out(Tensor U, Tensor S, Tensor V, Tensor self)
static PointerPointer<Tensor>	torch.svd_out(Tensor U, Tensor S, Tensor V, Tensor self, boolean some, boolean compute_uv)
static PointerPointer<Tensor>	torch.svd_outf(Tensor self, boolean some, boolean compute_uv, Tensor U, Tensor S, Tensor V)
static TensorTensorTensorTuple	torch.svd(Tensor self)
static TensorTensorTensorTuple	torch.svd(Tensor self, boolean some, boolean compute_uv)
static Tensor	torch.swapaxes(Tensor self, long axis0, long axis1)
static Tensor	torch.swapdims(Tensor self, long dim0, long dim1)
static PointerPointer<Tensor>	torch.symeig_out(Tensor e, Tensor V, Tensor self)
static PointerPointer<Tensor>	torch.symeig_out(Tensor e, Tensor V, Tensor self, boolean eigenvectors, boolean upper)
static PointerPointer<Tensor>	torch.symeig_outf(Tensor self, boolean eigenvectors, boolean upper, Tensor e, Tensor V)
static TensorTensorTuple	torch.symeig(Tensor self)
static TensorTensorTuple	torch.symeig(Tensor self, boolean eigenvectors, boolean upper)
static Tensor	torch.t(Tensor self)
static Tensor	torch.take_along_dim_out(Tensor out, Tensor self, Tensor indices)
static Tensor	torch.take_along_dim_out(Tensor out, Tensor self, Tensor indices, LongOptional dim)
static Tensor	torch.take_along_dim_outf(Tensor self, Tensor indices, LongOptional dim, Tensor out)
static Tensor	torch.take_along_dim(Tensor self, Tensor indices)
static Tensor	torch.take_along_dim(Tensor self, Tensor indices, LongOptional dim)
static Tensor	torch.take_out(Tensor out, Tensor self, Tensor index)
static Tensor	torch.take_outf(Tensor self, Tensor index, Tensor out)
static Tensor	torch.take(Tensor self, Tensor index)
static Tensor	torch.tan_(Tensor self)
static Tensor	torch.tan_out(Tensor out, Tensor self)
static Tensor	torch.tan_outf(Tensor self, Tensor out)
static Tensor	torch.tan(Tensor self)
static Tensor	torch.tanh_(Tensor self)
static Tensor	torch.tanh_backward_out(Tensor grad_input, Tensor grad_output, Tensor output)
static Tensor	torch.tanh_backward_outf(Tensor grad_output, Tensor output, Tensor grad_input)
static Tensor	torch.tanh_backward(Tensor grad_output, Tensor output)
static Tensor	torch.tanh_out(Tensor out, Tensor self)
static Tensor	torch.tanh_outf(Tensor self, Tensor out)
static Tensor	torch.tanh(Tensor self)
static Tensor	torch.tanhshrink(Tensor input)
static TensorVector	torch.tensor_split(Tensor self, long... indices)
static TensorVector	torch.tensor_split(Tensor self, long sections)
static TensorVector	torch.tensor_split(Tensor self, long[] indices, long dim)
static TensorVector	torch.tensor_split(Tensor self, LongArrayRef indices)
static TensorVector	torch.tensor_split(Tensor self, LongArrayRef indices, long dim)
static TensorVector	torch.tensor_split(Tensor self, long sections, long dim)
static TensorVector	torch.tensor_split(Tensor self, Tensor tensor_indices_or_sections)
static TensorVector	torch.tensor_split(Tensor self, Tensor tensor_indices_or_sections, long dim)
static Tensor	torch.tensordot_out(Tensor out, Tensor self, Tensor other, long[] dims_self, long... dims_other)
static Tensor	torch.tensordot_out(Tensor out, Tensor self, Tensor other, LongArrayRef dims_self, LongArrayRef dims_other)
static Tensor	torch.tensordot_outf(Tensor self, Tensor other, long[] dims_self, long[] dims_other, Tensor out)
static Tensor	torch.tensordot_outf(Tensor self, Tensor other, LongArrayRef dims_self, LongArrayRef dims_other, Tensor out)
static Tensor	torch.tensordot(Tensor self, Tensor other, long[] dims_self, long... dims_other)
static Tensor	torch.tensordot(Tensor self, Tensor other, LongArrayRef dims_self, LongArrayRef dims_other)
static TensorType	torch.tensorTypeInCurrentExecutionContext(Tensor t)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.thnn_conv2d_out(Tensor out, Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.thnn_conv2d_outf(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long[] padding, Tensor out)
static Tensor	torch.thnn_conv2d_outf(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding, Tensor out)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, long... kernel_size)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, long[] kernel_size, TensorOptional bias, long[] stride, long... padding)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, LongArrayRef kernel_size)
static Tensor	torch.thnn_conv2d(Tensor self, Tensor weight, LongArrayRef kernel_size, TensorOptional bias, LongArrayRef stride, LongArrayRef padding)
static Tensor	torch.threshold_(Tensor self, Scalar threshold, Scalar value)
static Tensor	torch.threshold_backward_out(Tensor grad_input, Tensor grad_output, Tensor self, Scalar threshold)
static Tensor	torch.threshold_backward_outf(Tensor grad_output, Tensor self, Scalar threshold, Tensor grad_input)
static Tensor	torch.threshold_backward(Tensor grad_output, Tensor self, Scalar threshold)
static Tensor	torch.threshold_out(Tensor out, Tensor self, Scalar threshold, Scalar value)
static Tensor	torch.threshold_outf(Tensor self, Scalar threshold, Scalar value, Tensor out)
static Tensor	torch.threshold(Tensor input, double threshold, double value, boolean inplace)
static Tensor	torch.threshold(Tensor self, Scalar threshold, Scalar value)
static Tensor	torch.threshold(Tensor input, ThresholdOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.threshold /** about the exact behavior of this functional.
static Tensor	torch.tile(Tensor self, long... dims)
static Tensor	torch.tile(Tensor self, LongArrayRef dims)
static Tensor	torch.to_dense_backward(Tensor grad, Tensor input)
static Tensor	torch.to_mkldnn_backward(Tensor grad, Tensor input)
static TensorOptionalVector	torch.to_optional(Tensor output) To use custom autograd operations, implement a Function subclass with static forward and backward functions: forward can take as many arguments as you want and should return either a variable list or a Variable.
static PointerPointer<Tensor>	torch.topk_out(Tensor values, Tensor indices, Tensor self, long k)
static PointerPointer<Tensor>	torch.topk_out(Tensor values, Tensor indices, Tensor self, long k, long dim, boolean largest, boolean sorted)
static PointerPointer<Tensor>	torch.topk_outf(Tensor self, long k, long dim, boolean largest, boolean sorted, Tensor values, Tensor indices)
static TensorTensorTuple	torch.topk(Tensor self, long k)
static TensorTensorTuple	torch.topk(Tensor self, long k, long dim, boolean largest, boolean sorted)
static Tensor	torch.trace_backward(Tensor grad, long... sizes)
static Tensor	torch.trace_backward(Tensor grad, LongArrayRef sizes)
static Tensor	torch.trace(Tensor self)
static Tensor	torch.transpose(Tensor self, Dimname dim0, Dimname dim1)
static Tensor	torch.transpose(Tensor self, long dim0, long dim1)
static Tensor	torch.trapezoid(Tensor y)
static Tensor	torch.trapezoid(Tensor y, Scalar dx, long dim)
static Tensor	torch.trapezoid(Tensor y, Tensor x)
static Tensor	torch.trapezoid(Tensor y, Tensor x, long dim)
static Tensor	torch.trapz(Tensor y)
static Tensor	torch.trapz(Tensor y, double dx, long dim)
static Tensor	torch.trapz(Tensor y, Tensor x)
static Tensor	torch.trapz(Tensor y, Tensor x, long dim)
static PointerPointer<Tensor>	torch.triangular_solve_out(Tensor X, Tensor M, Tensor self, Tensor A)
static PointerPointer<Tensor>	torch.triangular_solve_out(Tensor X, Tensor M, Tensor self, Tensor A, boolean upper, boolean transpose, boolean unitriangular)
static PointerPointer<Tensor>	torch.triangular_solve_outf(Tensor self, Tensor A, boolean upper, boolean transpose, boolean unitriangular, Tensor X, Tensor M)
static TensorTensorTuple	torch.triangular_solve(Tensor self, Tensor A)
static TensorTensorTuple	torch.triangular_solve(Tensor self, Tensor A, boolean upper, boolean transpose, boolean unitriangular)
static Tensor	torch.tril_out(Tensor out, Tensor self)
static Tensor	torch.tril_out(Tensor out, Tensor self, long diagonal)
static Tensor	torch.tril_outf(Tensor self, long diagonal, Tensor out)
static Tensor	torch.tril(Tensor self)
static Tensor	torch.tril(Tensor self, long diagonal)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, double margin, double p, double eps, boolean swap, long reduction)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, double margin, double p, double eps, boolean swap, loss_reduction_t reduction)
static Tensor	torch.triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, TripletMarginLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.triplet_margin_loss /** about the exact behavior of this functional.
static Tensor	torch.triplet_margin_with_distance_loss(Tensor anchor, Tensor positive, Tensor negative)
static Tensor	torch.triplet_margin_with_distance_loss(Tensor anchor, Tensor positive, Tensor negative, Pointer distance_function, double margin, boolean swap, loss_reduction_t reduction)
static Tensor	torch.triplet_margin_with_distance_loss(Tensor anchor, Tensor positive, Tensor negative, TripletMarginWithDistanceLossOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.triplet_margin_with_distance_loss /** about the exact behavior of this functional.
static Tensor	torch.triu_out(Tensor out, Tensor self)
static Tensor	torch.triu_out(Tensor out, Tensor self, long diagonal)
static Tensor	torch.triu_outf(Tensor self, long diagonal, Tensor out)
static Tensor	torch.triu(Tensor self)
static Tensor	torch.triu(Tensor self, long diagonal)
static Tensor	torch.true_divide_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.true_divide_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.true_divide(Tensor self, Scalar other)
static Tensor	torch.true_divide(Tensor self, Tensor other)
static Tensor	torch.trunc_(Tensor self)
static Tensor	torch.trunc_out(Tensor out, Tensor self)
static Tensor	torch.trunc_outf(Tensor self, Tensor out)
static Tensor	torch.trunc(Tensor self)
static Node	torch.try_get_grad_accumulator(Tensor arg0) Attempts to get a pointer to the gradient accumulator of the Variable, if it still exists.
static TensorVector	torch.unbind(Tensor self)
static TensorVector	torch.unbind(Tensor self, Dimname dim)
static TensorVector	torch.unbind(Tensor self, long dim)
static TensorVector	torch.unflatten_dense_tensors(Tensor flat, TensorArrayRef tensors)
static Tensor	torch.unfold_backward(Tensor grad_in, long[] input_sizes, long dim, long size, long step)
static Tensor	torch.unfold_backward(Tensor grad_in, LongArrayRef input_sizes, long dim, long size, long step)
static Tensor	torch.unfold(Tensor input, LongPointer kernel_size, LongPointer dilation, LongPointer padding, LongPointer stride)
static Tensor	torch.unfold(Tensor input, UnfoldOptions options) See https://pytorch.org/docs/master/nn.functional.html#torch.nn.functional.unfold /** about the exact behavior of this functional.
static Tensor	torch.uniform_(Tensor tensor)
static Tensor	torch.uniform_(Tensor tensor, double low, double high) Fills the given 2-dimensional matrix with values drawn from a uniform distribution parameterized by low and high.
static TensorTensorTensorTuple	torch.unique_consecutive(Tensor self)
static TensorTensorTensorTuple	torch.unique_consecutive(Tensor self, boolean return_inverse, boolean return_counts, LongOptional dim)
static TensorTensorTensorTuple	torch.unique_dim_consecutive(Tensor self, long dim)
static TensorTensorTensorTuple	torch.unique_dim_consecutive(Tensor self, long dim, boolean return_inverse, boolean return_counts)
static TensorTensorTensorTuple	torch.unique_dim(Tensor self, long dim)
static TensorTensorTensorTuple	torch.unique_dim(Tensor self, long dim, boolean sorted, boolean return_inverse, boolean return_counts)
static TensorVector	torch.unsafe_chunk(Tensor self, long chunks)
static TensorVector	torch.unsafe_chunk(Tensor self, long chunks, long dim)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, long... split_sizes)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, long[] split_sizes, long dim)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, LongArrayRef split_sizes)
static TensorVector	torch.unsafe_split_with_sizes(Tensor self, LongArrayRef split_sizes, long dim)
static TensorVector	torch.unsafe_split(Tensor self, long split_size)
static TensorVector	torch.unsafe_split(Tensor self, long split_size, long dim)
static Tensor	torch.unsqueeze(Tensor self, long dim)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bicubic2d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bicubic2d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bicubic2d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bicubic2d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bicubic2d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bicubic2d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bilinear2d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bilinear2d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bilinear2d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_bilinear2d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_bilinear2d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_bilinear2d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_linear1d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_linear1d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_linear1d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_linear1d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_linear1d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales)
static Tensor	torch.upsample_linear1d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest1d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_nearest1d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales, Tensor grad_input)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest1d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, long[] output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest1d_out(Tensor out, Tensor self, LongArrayRef output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d_outf(Tensor self, long[] output_size, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_nearest1d_outf(Tensor self, LongArrayRef output_size, DoubleOptional scales, Tensor out)
static Tensor	torch.upsample_nearest1d(Tensor self, long... output_size)
static Tensor	torch.upsample_nearest1d(Tensor self, long[] output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d(Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest1d(Tensor self, LongArrayRef output_size, DoubleOptional scales)
static Tensor	torch.upsample_nearest1d(Tensor input, LongArrayRefOptional output_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest2d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest2d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest2d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, long[] output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest2d_out(Tensor out, Tensor self, LongArrayRef output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d_outf(Tensor self, long[] output_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest2d_outf(Tensor self, LongArrayRef output_size, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest2d(Tensor self, long... output_size)
static Tensor	torch.upsample_nearest2d(Tensor self, long[] output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d(Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest2d(Tensor self, LongArrayRef output_size, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest2d(Tensor input, LongArrayRefOptional output_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest3d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, long[] output_size, long... input_size)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, long[] output_size, long[] input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest3d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, long... output_size)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, long[] output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest3d_out(Tensor out, Tensor self, LongArrayRef output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d_outf(Tensor self, long[] output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest3d_outf(Tensor self, LongArrayRef output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_nearest3d(Tensor self, long... output_size)
static Tensor	torch.upsample_nearest3d(Tensor self, long[] output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d(Tensor self, LongArrayRef output_size)
static Tensor	torch.upsample_nearest3d(Tensor self, LongArrayRef output_size, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_nearest3d(Tensor input, LongArrayRefOptional output_size, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward_out(Tensor grad_input, Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward_outf(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_trilinear3d_backward_outf(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor grad_input)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, long[] output_size, long[] input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRef output_size, LongArrayRef input_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRefOptional output_size, long[] input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_trilinear3d_backward(Tensor grad_output, LongArrayRefOptional output_size, LongArrayRef input_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d_out(Tensor out, Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d_outf(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_trilinear3d_outf(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w, Tensor out)
static Tensor	torch.upsample_trilinear3d(Tensor self, long[] output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d(Tensor self, long[] output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d(Tensor self, LongArrayRef output_size, boolean align_corners)
static Tensor	torch.upsample_trilinear3d(Tensor self, LongArrayRef output_size, boolean align_corners, DoubleOptional scales_d, DoubleOptional scales_h, DoubleOptional scales_w)
static Tensor	torch.upsample_trilinear3d(Tensor input, LongArrayRefOptional output_size, boolean align_corners, DoubleArrayRefOptional scale_factors)
static Tensor	torch.value_selecting_reduction_backward(Tensor grad, long dim, Tensor indices, long[] sizes, boolean keepdim)
static Tensor	torch.value_selecting_reduction_backward(Tensor grad, long dim, Tensor indices, LongArrayRef sizes, boolean keepdim)
static Tensor	torch.vander(Tensor x)
static Tensor	torch.vander(Tensor x, LongOptional N, boolean increasing)
static TensorTensorTuple	torch.var_mean(Tensor self)
static TensorTensorTuple	torch.var_mean(Tensor self, boolean unbiased)
static TensorTensorTuple	torch.var_mean(Tensor self, DimnameArrayRef dim)
static TensorTensorTuple	torch.var_mean(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static TensorTensorTuple	torch.var_mean(Tensor self, DimnameArrayRef dim, LongOptional correction)
static TensorTensorTuple	torch.var_mean(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static TensorTensorTuple	torch.var_mean(Tensor self, int dim)
static TensorTensorTuple	torch.var_mean(Tensor self, long... dim)
static TensorTensorTuple	torch.var_mean(Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static TensorTensorTuple	torch.var_mean(Tensor self, LongArrayRef dim)
static TensorTensorTuple	torch.var_mean(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static TensorTensorTuple	torch.var_mean(Tensor self, LongArrayRefOptional dim, LongOptional correction)
static TensorTensorTuple	torch.var_mean(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.var_out(Tensor out, Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, long... dim)
static Tensor	torch.var_out(Tensor out, Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRef dim)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.var_out(Tensor out, Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.var_outf(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, long[] dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim, Tensor out)
static Tensor	torch.var_outf(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim, Tensor out)
static Tensor	torch.var(Tensor self)
static Tensor	torch.var(Tensor self, boolean unbiased)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim, LongOptional correction)
static Tensor	torch.var(Tensor self, DimnameArrayRef dim, LongOptional correction, boolean keepdim)
static Tensor	torch.var(Tensor self, int dim)
static Tensor	torch.var(Tensor self, long... dim)
static Tensor	torch.var(Tensor self, long[] dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var(Tensor self, LongArrayRef dim)
static Tensor	torch.var(Tensor self, LongArrayRef dim, boolean unbiased, boolean keepdim)
static Tensor	torch.var(Tensor self, LongArrayRefOptional dim, LongOptional correction)
static Tensor	torch.var(Tensor self, LongArrayRefOptional dim, LongOptional correction, boolean keepdim)
static Tensor	torch.vdot_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.vdot_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.vdot(Tensor self, Tensor other)
static void	torch.vector_to_parameters(Tensor vec, Tensor parameters)
static VariableVersion	torch.version_counter(Tensor arg0) Retrieves this Variables version counter.
static Tensor	torch.view_as_complex(Tensor self)
static Tensor	torch.view_as_real(Tensor self)
static TensorVector	torch.vsplit(Tensor self, long... indices)
static TensorVector	torch.vsplit(Tensor self, long sections)
static TensorVector	torch.vsplit(Tensor self, LongArrayRef indices)
static Tensor	torch.vstack_out(Tensor out, TensorArrayRef tensors)
static Tensor	torch.vstack_outf(TensorArrayRef tensors, Tensor out)
static TensorVector	torch.where(Tensor condition)
static Tensor	torch.where(Tensor condition, Scalar self, Scalar other)
static Tensor	torch.where(Tensor condition, Scalar self, Tensor other)
static Tensor	torch.where(Tensor condition, Tensor self, Scalar other)
static Tensor	torch.where(Tensor condition, Tensor self, Tensor other)
static Tensor	torch.xavier_normal_(Tensor tensor)
static Tensor	torch.xavier_normal_(Tensor tensor, double gain) Fills the input Tensor with values according to the method described in "Understanding the difficulty of training deep feedforward neural networks" - Glorot, X.
static Tensor	torch.xavier_uniform_(Tensor tensor)
static Tensor	torch.xavier_uniform_(Tensor tensor, double gain) Fills the input Tensor with values according to the method described in "Understanding the difficulty of training deep feedforward neural networks" - Glorot, X.
static Tensor	torch.xlogy_(Tensor self, Scalar other)
static Tensor	torch.xlogy_(Tensor self, Tensor other)
static Tensor	torch.xlogy_out(Tensor out, Scalar self, Tensor other)
static Tensor	torch.xlogy_out(Tensor out, Tensor self, Scalar other)
static Tensor	torch.xlogy_out(Tensor out, Tensor self, Tensor other)
static Tensor	torch.xlogy_outf(Scalar self, Tensor other, Tensor out)
static Tensor	torch.xlogy_outf(Tensor self, Scalar other, Tensor out)
static Tensor	torch.xlogy_outf(Tensor self, Tensor other, Tensor out)
static Tensor	torch.xlogy(Scalar self, Tensor other)
static Tensor	torch.xlogy(Tensor self, Scalar other)
static Tensor	torch.xlogy(Tensor self, Tensor other)
static Tensor	torch.xor(Scalar x, Tensor y)
static Tensor	torch.xor(Tensor x, Scalar y)
static Tensor	torch.xor(Tensor x, Tensor y)
static Tensor	torch.zero_(Tensor self)
static Tensor	torch.zeros_(Tensor tensor) Fills the given tensor with zeros.
static Tensor	torch.zeros_like(Tensor self)
static Tensor	torch.zeros_like(Tensor self, ScalarTypeOptional dtype, LayoutOptional layout, DeviceOptional device, BoolOptional pin_memory, MemoryFormatOptional memory_format)
static Tensor	torch.zeros_like(Tensor self, TensorOptions options, MemoryFormatOptional memory_format)
static Tensor	torch.zeros_out(Tensor out, long... size)
static Tensor	torch.zeros_out(Tensor out, LongArrayRef size)
static Tensor	torch.zeros_outf(long[] size, Tensor out)
static Tensor	torch.zeros_outf(LongArrayRef size, Tensor out)